Triple
T8986810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imbabura Province |
E214687
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Ibarra |
E244447
|
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: Ibarra | Statement: [Imbabura Province, largestCity, Ibarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ibarra Context triple: [Imbabura Province, largestCity, Ibarra]
-
A.
Ibarra
chosen
Ibarra is a city in northern Ecuador, known as the capital of Imbabura Province and for its colonial architecture and Andean setting.
-
B.
Jaramillo
Jaramillo is a Spanish-language surname of Basque origin borne by various notable individuals across the Spanish-speaking world.
-
C.
Balbuena
Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
-
D.
Espinal
Espinal is a significant urban center in central Colombia known for its agricultural economy and cultural traditions within the Tolima Department.
-
E.
Bochica
Bochica is a principal civilizing hero and culture god in Muisca mythology, associated with teaching laws, crafts, and moral order to the people.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67ef19108190ac518c4f744b6d60 |
completed | April 1, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb51c9fc81908d86858f10c9ab62 |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:04 p.m.