Triple
T25038992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balmaseda |
E627056
|
entity |
| Predicate | isFirstCharteredTownOf |
P157916
|
FINISHED |
| Object | Biscay |
—
|
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: Biscay | Statement: [Balmaseda, isFirstCharteredTownOf, Biscay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstCharteredTownOf Context triple: [Balmaseda, isFirstCharteredTownOf, Biscay]
-
A.
wasFoundedAsTown
Indicates that an entity came into existence specifically with the legal or formal status of a town.
-
B.
foundingAsMissionTown
Indicates the event in which a settlement is established specifically as a mission town, i.e., founded with the primary purpose of serving as a religious mission community.
-
C.
foundedAsSettlementFor
Indicates that one entity was originally established specifically to serve as a settlement for another entity (such as a group, population, or community).
-
D.
wasFirstMajorSeaportOf
Indicates that one place served as the earliest significant seaport for another place or region.
-
E.
wasFirstCapitalOf
Indicates that one place previously served as the earliest or original capital city of another political or administrative entity.
- F. None of above. chosen
Provenance (4 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_69e2ff2a2c088190be513727ee8bfe78 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f45308d3148190bc24a7cdb570e866 |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:08 a.m.