Triple
T11591979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iloilo |
E274903
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Passi City |
E274435
|
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: Passi City | Statement: [Iloilo, contains, Passi City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passi City Context triple: [Iloilo, contains, Passi City]
-
A.
Passi City
chosen
Passi City is a component city in the province of Iloilo in the Philippines, known as a major agricultural and commercial center on Panay Island.
-
B.
Toda City
Toda City is a municipality in Saitama Prefecture, Japan, located just north of Tokyo and known as a residential and commuter town within the Greater Tokyo metropolitan area.
-
C.
Shiki City
Shiki City is a suburban municipality in Saitama Prefecture, Japan, known as a residential and commuter town within the Greater Tokyo area.
-
D.
Takayama
Takayama is a historic mountain city in Japan’s Gifu Prefecture, known for its well-preserved Edo-period streets, traditional wooden houses, and proximity to the Japanese Alps.
-
E.
Nagaokakyo City
Nagaokakyo City is a suburban city in Kyoto Prefecture, Japan, known for its residential communities, historical temples, and convenient rail access to Kyoto and Osaka.
- 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.