Triple
T1991264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zamoskvoretskaya Line |
E43255
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Aeroport
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
|
E222043
|
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: Aeroport | Statement: [Zamoskvoretskaya Line, hasStation, Aeroport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aeroport Context triple: [Zamoskvoretskaya Line, hasStation, Aeroport]
-
A.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
B.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
C.
Cat Bi International Airport
Cat Bi International Airport is a major commercial and military airport serving the coastal city of Hai Phong in northern Vietnam.
-
D.
Coll Airport
Coll Airport is a small regional airfield serving the island of Coll in Scotland’s Inner Hebrides, providing vital connections to the mainland.
-
E.
Mitiga International Airport
Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
- 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: Aeroport Triple: [Zamoskvoretskaya Line, hasStation, Aeroport]
Generated description
Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aeroport Target entity description: Aeroport is a Moscow Metro station on the Zamoskvoretskaya Line, named after the nearby Khodynka Aerodrome area.
-
A.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
B.
Aeropuerto T2
Aeropuerto T2 is a Metrobús station in Mexico City that serves Terminal 2 of the city’s international airport.
-
C.
Cat Bi International Airport
Cat Bi International Airport is a major commercial and military airport serving the coastal city of Hai Phong in northern Vietnam.
-
D.
Coll Airport
Coll Airport is a small regional airfield serving the island of Coll in Scotland’s Inner Hebrides, providing vital connections to the mainland.
-
E.
Mitiga International Airport
Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8451fe8819093531052f4533c36 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0338631c8190a8c7e5177ac473a8 |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03d3c3048190bf9c476bea8c4c1e |
completed | March 8, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0480bf9081909ee1ba5d5c805ab3 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.