Triple
T9688868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico Highway 52 |
E234486
|
entity |
| Predicate | terminusSouth |
P1866
|
FINISHED |
| Object | Ponce |
E310442
|
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: Ponce | Statement: [Puerto Rico Highway 52, terminusSouth, Ponce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ponce Context triple: [Puerto Rico Highway 52, terminusSouth, Ponce]
-
A.
Ponce, Puerto Rico
chosen
Ponce, Puerto Rico is one of the island’s largest and historically most important cities, known for its rich cultural heritage, colonial architecture, and role as a major economic and artistic center outside the capital, San Juan.
-
B.
Hato Rey
Hato Rey is a major commercial and financial district of San Juan, Puerto Rico, known for its business centers, banks, and office towers.
-
C.
Puerto Plata
Puerto Plata is a historic coastal city in the Dominican Republic known for its significant Afro-Dominican population, tourism, and role as a major port on the Atlantic coast.
-
D.
Abataranika
Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
-
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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d019d40819095059a4d6167900a |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af80358881909cdd91f2aed33ef6 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:17 p.m.