Triple
T2287704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tren Urbano |
E51431
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Bayamón |
E54049
|
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: Bayamón | Statement: [Tren Urbano, serves, Bayamón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayamón Context triple: [Tren Urbano, serves, Bayamón]
-
A.
Bayamón
chosen
Bayamón is one of the largest and most populous municipalities of Puerto Rico, located just west of San Juan and known as a major commercial and industrial center on the island.
-
B.
Guaynabo
Guaynabo is a municipality in Puerto Rico, located near San Juan and known as a suburban commercial and residential hub within the island’s main metropolitan region.
-
C.
Trujillo Alto
Trujillo Alto is a suburban municipality of Puerto Rico located just southeast of San Juan, known for its residential communities and role as part of the island’s main metropolitan region.
-
D.
Cataño
Cataño is a small coastal municipality in northern Puerto Rico, known for its waterfront views of Old San Juan and its historic rum distillery.
-
E.
Aguas Buenas
Aguas Buenas is a mountainous municipality in central Puerto Rico known for its cool climate, caves, and scenic rural landscapes.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc24868048190940512fd6449d99e |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.