Triple
T14565985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agua Azul |
E341785
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ocosingo |
E907057
|
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: Ocosingo | Statement: [Agua Azul, locatedNear, Ocosingo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocosingo Context triple: [Agua Azul, locatedNear, Ocosingo]
-
A.
Ocosingo
chosen
Ocosingo is a municipality and town in the Mexican state of Chiapas, known for its large indigenous population and proximity to important Maya archaeological sites such as Toniná.
-
B.
Zapotitlán
Zapotitlán is a metro station in Mexico City that serves passengers on Line 12 of the city’s rapid transit system.
-
C.
Nojpetén
Nojpetén was the last independent Maya capital city, located on an island in Lake Petén Itzá in present-day Guatemala.
-
D.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
-
E.
Ixtlahuacán
Ixtlahuacán is a rural municipality in the Mexican state of Colima known for its agricultural activities and small-town character.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38c6350819091090ffd15772f6f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7772508190bee1eb310aa40372 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:23 a.m.