Triple
T16079246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loayza Province |
E390058
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Luribay |
E1193024
|
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: Luribay | Statement: [Loayza Province, seat, Luribay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luribay Context triple: [Loayza Province, seat, Luribay]
-
A.
Luribay
chosen
Luribay is a small town in Bolivia known as an agricultural center, particularly for its vineyards and wine production, in the Loayza Province of the La Paz Department.
-
B.
Roura
Roura is a commune in French Guiana known for its rainforest landscapes and proximity to the Kaw-Roura Marshland Nature Reserve.
-
C.
Barbalha
Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
-
D.
Morungaba
Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
-
E.
Guiguinto
Guiguinto is a municipality in the province of Bulacan in the Philippines, known for its rapid urbanization and ornamental plant industry.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb917b008190b1680b347cfa0892 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.