Triple
T19589495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Libertad Department |
E470192
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Teotepeque |
—
|
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: Teotepeque | Statement: [La Libertad Department, contains, Teotepeque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teotepeque Context triple: [La Libertad Department, contains, Teotepeque]
-
A.
Teotepeque
chosen
Teotepeque is a small town in El Salvador known as the birthplace of revolutionary leader Farabundo Martí.
-
B.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
-
C.
San Luis Jilotepeque
San Luis Jilotepeque is a town in Guatemala known as one of the communities where the Poqomam Maya people live.
-
D.
Coatepeque
Coatepeque is a town in southwestern Guatemala known as a regional commercial and transportation hub near the Mexican border.
-
E.
Hualaihué
Hualaihué is a coastal municipality in southern Chile known for its fjords, islands, and location within the Los Lagos Region’s Palena Province.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64054299481908d83c85cefdab075 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.