Triple
T2177439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MetroStars |
E48562
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Metros
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
|
E242964
|
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: Metros | Statement: [MetroStars, nickname, Metros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metros Context triple: [MetroStars, nickname, Metros]
-
A.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
B.
Muni
Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
-
C.
Subte
Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
-
D.
Buenos Aires Underground
Buenos Aires Underground is the rapid transit system serving Argentina’s capital, known as the oldest subway network in Latin America and a key component of the city’s public transportation.
-
E.
Metrocars
Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
- 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: Metros Triple: [MetroStars, nickname, Metros]
Generated description
Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metros Target entity description: Metros is the nickname historically used for the MetroStars, the former Major League Soccer team now known as the New York Red Bulls.
-
A.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
-
B.
Muni
Muni is San Francisco’s primary public transit agency, operating buses, light rail, historic streetcars, and the city’s iconic cable cars.
-
C.
Subte
Subte is the rapid transit metro system serving Buenos Aires, Argentina, and one of the oldest underground rail networks in Latin America.
-
D.
Buenos Aires Underground
Buenos Aires Underground is the rapid transit system serving Argentina’s capital, known as the oldest subway network in Latin America and a key component of the city’s public transportation.
-
E.
Metrocars
Metrocars are the electric multiple unit trains specifically designed and used for passenger services on the Tyne and Wear Metro system in North East England.
- 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbeecdbc881909982a58568f0b1ed |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da14e3881909f0beda339599938 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e5f023081909cd046b5850f8026 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ef99018819083a778378ea493e8 |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:45 p.m.