Triple
T11591980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iloilo |
E274903
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Oton |
E274434
|
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: Oton | Statement: [Iloilo, contains, Oton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oton Context triple: [Iloilo, contains, Oton]
-
A.
Oton
chosen
Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
-
B.
Otar
Otar is a Georgian given name most notably borne by acclaimed film director Otar Iosseliani.
-
C.
Otse
Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
-
D.
Osma
Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
-
E.
Otomí
Otomí is an indigenous people of central Mexico whose Oto-Manguean language and rich cultural traditions have persisted since pre-Hispanic times.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714634b308190bdcb761f8b6712e7 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.