Triple
T16576027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Honduras |
E402710
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Siguatepeque |
E1037251
|
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: Siguatepeque | Statement: [Western Honduras, hasCity, Siguatepeque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siguatepeque Context triple: [Western Honduras, hasCity, Siguatepeque]
-
A.
Siguatepeque
chosen
Siguatepeque is a Honduran city known as an important commercial and agricultural center in the country’s central highlands.
-
B.
Ahuachapán city
Ahuachapán city is a western Salvadoran urban center known for its coffee production, geothermal activity, and proximity to scenic volcanic highlands.
-
C.
Zacualpa
Zacualpa is a municipality and town in Guatemala known for its indigenous Kʼicheʼ Maya population and traditional highland culture.
-
D.
San Pedro Sacatepéquez
San Pedro Sacatepéquez is a highland Guatemalan town and municipality known for its indigenous Mam culture, traditional textiles, and cool mountainous climate.
-
E.
Santiago Atitlán
Santiago Atitlán is a traditional Tz'utujil Maya town in Guatemala known for its vibrant indigenous culture, crafts, and scenic location on the shores of Lake Atitlán.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595cb65481909be62a52deff3d44 |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a508505881909cb7582916ad037c |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:16 a.m.