Triple
T2487991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrobus Line 5 |
E55972
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Las Bombas |
E42360
|
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: Las Bombas | Statement: [Metrobus Line 5, hasStation, Las Bombas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Bombas Context triple: [Metrobus Line 5, hasStation, Las Bombas]
-
A.
Las Bombas
chosen
Las Bombas is a Metrobús station in Mexico City that serves as a terminus on Line 5 of the bus rapid transit system.
-
B.
El Bombillo
El Bombillo is the popular nickname of Ecuadorian football club Club Sport Emelec, one of the country's most successful and historic teams.
-
C.
Camoteros
Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
-
D.
Blowback
Blowback is a political nonfiction book by Chalmers Johnson that critiques U.S. foreign policy and explores how American military and economic actions abroad can provoke unintended and often violent consequences.
-
E.
Mogotón
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd179c44881909cd6c7626cadaf10 |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f8ee974819082a2a29f8b72d131 |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 6, 2026, 9:45 p.m.