Triple
T14677826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polewali Mandar Regency |
E344694
|
entity |
| Predicate | provinceCapital |
P16248
|
FINISHED |
| Object | Mamuju |
E316096
|
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: Mamuju | Statement: [Polewali Mandar Regency, provinceCapital, Mamuju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamuju Context triple: [Polewali Mandar Regency, provinceCapital, Mamuju]
-
A.
Mamuju
chosen
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
-
B.
Gunsan
Gunsan is a coastal city in North Jeolla Province, South Korea, known for its port, industrial facilities, and longstanding association with nearby military air operations.
-
C.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
D.
Gijeon
Gijeon is an alternative name for the Seoul Capital Area, the densely populated metropolitan region surrounding South Korea’s capital city.
-
E.
Sacheon
Sacheon is a coastal city in South Gyeongsang Province, South Korea, known for its fishing industry, maritime transport, and aerospace manufacturing.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38857068819085e0d62829302abd |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:27 a.m.