Triple
T2103361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenjo |
E37138
|
entity |
| Predicate | borderingMunicipality |
P33892
|
FINISHED |
| Object | Subachoque |
E167587
|
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: Subachoque | Statement: [Tenjo, borderingMunicipality, Subachoque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Subachoque Context triple: [Tenjo, borderingMunicipality, Subachoque]
-
A.
Subachoque
chosen
Subachoque is a rural municipality in the Cundinamarca department of Colombia, known for its cool climate, agricultural activities, and scenic Andean landscapes.
-
B.
Yucay
Yucay is a small Andean town in Peru’s Sacred Valley, known for its traditional agriculture, Inca terraces, and scenic mountain surroundings.
-
C.
Huaral
Huaral is a coastal agricultural city in central Peru known for its fruit production and proximity to Lima.
-
D.
Chachani
Chachani is a large, dormant stratovolcano in southern Peru, overlooking the city of Arequipa and popular with high-altitude trekkers and climbers.
-
E.
Sipakapense
Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbdc11a048190ba3bbc60f90f34e1 |
completed | March 7, 2026, 5:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3068189c81909cf76fd1fc2a0fe6 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.