Triple
T20185011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicoasén Dam |
E492831
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Chicoasén |
—
|
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: Chicoasén | Statement: [Chicoasén Dam, nearCity, Chicoasén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chicoasén Context triple: [Chicoasén Dam, nearCity, Chicoasén]
-
A.
Chicamán
Chicamán is a rural municipality in Guatemala known for its mountainous terrain, indigenous Maya communities, and traditional agricultural economy.
-
B.
Panajachel
Panajachel is a popular lakeside town on the shores of Lake Atitlán in Guatemala, known for its scenic volcano views and vibrant tourism scene.
-
C.
Amacuzac
Amacuzac is a town in the Mexican state of Morelos that serves as the administrative and population center of the surrounding Amacuzac Municipality.
-
D.
Cucunubá
Cucunubá is a small colonial-era town in the Cundinamarca department of Colombia, known for its traditional wool textiles and scenic Andean highland landscapes.
-
E.
Tenejapa
chosen
Tenejapa is a highland municipality in the Mexican state of Chiapas known for its predominantly Tzeltal Maya population and rich indigenous cultural traditions.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f199688190a42094cce220f6f2 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.