Triple
T6556213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Madrid Metro) |
E152453
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Aeropuerto T1-T2-T3
Aeropuerto T1-T2-T3 is a Madrid Metro station serving terminals 1, 2, and 3 of Adolfo Suárez Madrid–Barajas Airport.
|
E604806
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aeropuerto T1-T2-T3 | Statement: [Line 8 (Madrid Metro), hasStation, Aeropuerto T1-T2-T3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeropuerto T1-T2-T3 Context triple: [Line 8 (Madrid Metro), hasStation, Aeropuerto T1-T2-T3]
-
A.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
B.
Terminal Aérea
Terminal Aérea is a Mexico City Metro station that serves the area around the Mexico City International Airport, providing convenient transit access for air travelers.
-
C.
Terminal 3
Terminal 3 is one of the passenger terminals at Mehrabad International Airport in Tehran, serving domestic air traffic within Iran.
-
D.
Terminal 3
Terminal 3 is the main international passenger terminal at Ben-Gurion Airport, serving as Israel’s primary gateway for most commercial flights.
-
E.
Terminal 3
Terminal 3 is the main modern passenger terminal complex at Shenzhen Bao’an International Airport, serving as a major hub for domestic and international flights in the region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aeropuerto T1-T2-T3 Triple: [Line 8 (Madrid Metro), hasStation, Aeropuerto T1-T2-T3]
Generated description
Aeropuerto T1-T2-T3 is a Madrid Metro station serving terminals 1, 2, and 3 of Adolfo Suárez Madrid–Barajas Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aeropuerto T1-T2-T3 Target entity description: Aeropuerto T1-T2-T3 is a Madrid Metro station serving terminals 1, 2, and 3 of Adolfo Suárez Madrid–Barajas Airport.
-
A.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
B.
Terminal Aérea
Terminal Aérea is a Mexico City Metro station that serves the area around the Mexico City International Airport, providing convenient transit access for air travelers.
-
C.
Terminal 3
Terminal 3 is one of the passenger terminals at Mehrabad International Airport in Tehran, serving domestic air traffic within Iran.
-
D.
Terminal 3
Terminal 3 is the main international passenger terminal at Ben-Gurion Airport, serving as Israel’s primary gateway for most commercial flights.
-
E.
Terminal 3
Terminal 3 is the main modern passenger terminal complex at Shenzhen Bao’an International Airport, serving as a major hub for domestic and international flights in the region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1d28bc8190a2fa4b3e1e39863c |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d559ad4881909c1e7712d84945f6 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d676e43081909bf2a9cceff0b9b3 |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.