Triple
T12878322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerro El Ávila |
E308021
|
entity |
| Predicate | hasAccessPoint |
P1985
|
FINISHED |
| Object | Galipán |
E1004861
|
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: Galipán | Statement: [Cerro El Ávila, hasAccessPoint, Galipán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galipán Context triple: [Cerro El Ávila, hasAccessPoint, Galipán]
-
A.
Galipán
chosen
Galipán is a small mountain village in Venezuela known for its cool climate, flower and strawberry production, and scenic views over Caracas and the Caribbean coast.
-
B.
Guamúchil
Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
-
C.
Atzacan
Atzacan is a municipality in the Mexican state of Veracruz that forms part of the greater Orizaba metropolitan region.
-
D.
Tecolotlán
Tecolotlán is a municipality and town in the state of Jalisco, Mexico, known for its rural landscapes, traditional culture, and location within the Sierra de Amula region.
-
E.
Tuxpan
Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:38 p.m.