Triple
T21937609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billings Township |
E541733
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Kagawong |
—
|
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: Kagawong | Statement: [Billings Township, hasSettlement, Kagawong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kagawong Context triple: [Billings Township, hasSettlement, Kagawong]
-
A.
Kagawong
chosen
Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
-
B.
Kabugao
Kabugao is a municipality in the Philippines that serves as the administrative and political center of the province of Apayao.
-
C.
Kabugao
Kabugao is a dialect of the Isnag language spoken by indigenous communities in the northern Philippines.
-
D.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
E.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241e35bc81909eb3225d5cd97b92 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:55 p.m.