Triple
T16025038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guatemala Department |
E388695
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chinautla |
E492382
|
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: Chinautla | Statement: [Guatemala Department, contains, Chinautla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinautla Context triple: [Guatemala Department, contains, Chinautla]
-
A.
Chinautla
chosen
Chinautla is a municipality in Guatemala known for its significant Poqomam Maya population and preservation of indigenous cultural traditions.
-
B.
Chino
Chino is a city in Southern California known for its agricultural roots, suburban communities, and proximity to major Inland Empire transportation corridors.
-
C.
Chicanná
Chicanná is a small Maya archaeological site in the Mexican state of Campeche, noted for its well-preserved temples and elaborate zoomorphic façades.
-
D.
Chepe
Chepe is a masculine given name and nickname, commonly used in Spanish-speaking regions as a familiar form of names like José.
-
E.
Chepe
Chepe is a scenic Mexican passenger train service that runs through the Copper Canyon region in the state of Chihuahua.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1832790548190a74045d554e13328 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf31c8d8819096c562ba1453f3c0 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.