Triple
T35515020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oton, Iloilo |
E1026392
|
entity |
| Predicate | oldestSpanishSettlementIn |
P54294
|
FINISHED |
| Object | Iloilo province |
—
|
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: Iloilo province | Statement: [Oton, Iloilo, oldestSpanishSettlementIn, Iloilo province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldestSpanishSettlementIn Context triple: [Oton, Iloilo, oldestSpanishSettlementIn, Iloilo province]
-
A.
isOldestAmericanSettlementWestOf
Indicates that one settlement is the earliest-established American settlement located to the west of another specified place.
-
B.
isOldestAmericanSettlementOn
Indicates that one entity is the oldest American settlement located on or within the specified geographic entity.
-
C.
firstPermanentEuropeanSettlement
chosen
Indicates that the subject is the location of the earliest lasting European-established community in a given region or context.
-
D.
oneOfEarliestSettlementsIn
Indicates that the subject is among the first settlements established within the specified place or region.
-
E.
wasFirstPermanentEuropeanSettlementInAmericasFor
Indicates that one entity served as the first permanent European settlement in the Americas for another specified entity (such as a country, region, or group).
- F. None of above.
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_69f76dfd61208190b93ec6dc439cab41 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.