Triple
T10705679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acapulco de Juárez |
E252396
|
entity |
| Predicate | famousSite |
P10233
|
FINISHED |
| Object | La Quebrada |
E170862
|
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: La Quebrada | Statement: [Acapulco de Juárez, famousSite, La Quebrada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Quebrada Context triple: [Acapulco de Juárez, famousSite, La Quebrada]
-
A.
La Quebrada
chosen
La Quebrada is a famous cliff-diving site in Acapulco, Mexico, where professional divers leap from dramatic heights into the Pacific Ocean.
-
B.
Cruz Quebrada-Dafundo
Cruz Quebrada-Dafundo is a civil parish in the municipality of Oeiras, in the Lisbon metropolitan area of Portugal, known for its riverside location along the Tagus River.
-
C.
Dosquebradas
Dosquebradas is a Colombian city in the Coffee Region known for its industrial activity and close integration with the neighboring city of Pereira.
-
D.
Barranco
Barranco is a bohemian coastal district of Lima, Peru, known for its vibrant arts scene, nightlife, and colorful colonial-era architecture.
-
E.
El Salto
El Salto is a municipality in the state of Jalisco, Mexico, known for its industrial activity and proximity to the Guadalajara metropolitan area.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fddeb060819094cd125a68070eb2 |
completed | April 9, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d998fe56dc8190ae0c987b28ec6206 |
completed | April 11, 2026, 12:42 a.m. |
Created at: April 8, 2026, 9:12 p.m.