Triple
T14596800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biliran Province |
E342589
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Culaba |
E342592
|
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: Culaba | Statement: [Biliran Province, hasMunicipality, Culaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culaba Context triple: [Biliran Province, hasMunicipality, Culaba]
-
A.
Culaba
chosen
Culaba is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its rural communities and agricultural landscape.
-
B.
Caboolture
Caboolture is a town and suburban area in South East Queensland, Australia, known as a growing regional hub between Brisbane and the Sunshine Coast.
-
C.
Dongara
Dongara is a coastal town in Western Australia known for its fishing, beaches, and role as a service centre for the surrounding agricultural region.
-
D.
Coorow
Coorow is a small rural town in Western Australia's Mid West region, known for its grain farming and wildflower displays.
-
E.
Mathoura
Mathoura is a small rural town in the Riverina region of New South Wales, Australia, known for its timber industry, wetlands, and proximity to the Murray River.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94c81e608190848c290defcd84ac |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.