Triple
T18637733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acapulco H.E.A.T. |
E455597
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Acapulco |
—
|
NE NERFINISHED |
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: Acapulco | Statement: [Acapulco H.E.A.T., settingLocation, Acapulco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acapulco Context triple: [Acapulco H.E.A.T., settingLocation, Acapulco]
-
A.
Acapulco
chosen
Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
-
B.
Puerto Vallarta
Puerto Vallarta is a popular Pacific coast resort city in the Mexican state of Jalisco, known for its beaches, nightlife, and vibrant arts and cultural scene.
-
C.
Cancún
Cancún is a major Mexican resort city on the Caribbean coast, renowned for its beaches, tourism industry, and role as a host for international conferences and summits.
-
D.
Cabo San Lucas
Cabo San Lucas is a popular resort city at the southern tip of Mexico’s Baja California Peninsula, known for its beaches, marine life, and distinctive rock formations such as El Arco.
-
E.
Cancuén
Cancuén is a major ancient Maya archaeological site in Guatemala known for its large palace complex and role as a key trade center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.