Triple
T6556215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 8 (Madrid Metro) |
E152453
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Aeropuerto T4 |
E604802
|
NE FINISHED |
How this triple was built (2 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 T4 | Statement: [Line 8 (Madrid Metro), hasStation, Aeropuerto T4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeropuerto T4 Context triple: [Line 8 (Madrid Metro), hasStation, Aeropuerto T4]
-
A.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
B.
Aeropuerto T4 station
chosen
Aeropuerto T4 station is a Madrid Metro station serving Terminal 4 of Adolfo Suárez Madrid–Barajas Airport, providing a key rail link between the airport and the city.
-
C.
Aeroport T1 station
Aeroport T1 station is a Barcelona Metro station serving Terminal 1 of Barcelona–El Prat Airport on line L9 Sud.
-
D.
Terminal 3
Terminal 3 is a passenger terminal at Cincinnati/Northern Kentucky International Airport serving airline operations and traveler services.
-
E.
Terminal 3
Terminal 3 is Haneda Airport’s international terminal in Tokyo, serving as a major hub for overseas flights and passenger services.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6e4234c148190b19d36903cb67651 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:51 p.m.