Triple
T18744934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawi-Tawi |
E458384
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Bongao |
—
|
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: Bongao | Statement: [Tawi-Tawi, hasMunicipality, Bongao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongao Context triple: [Tawi-Tawi, hasMunicipality, Bongao]
-
A.
Bongao
chosen
Bongao is a coastal municipality and commercial hub in the southern Philippines, serving as the main gateway and administrative center of the Tawi-Tawi island province.
-
B.
Binongko
Binongko is an island in Indonesia’s Wakatobi archipelago, known for its traditional blacksmithing culture and remote, rugged coastal landscapes.
-
C.
Bussang
Bussang is a commune in northeastern France’s Vosges department, known as a mountain resort and gateway to the Vosges range near the source of the Moselle River.
-
D.
Balungao
Balungao is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its hilly terrain and hot and cold springs.
-
E.
Hinatuan
Hinatuan is a coastal municipality in the province of Surigao del Sur in the Philippines, best known for its clear blue Hinatuan Enchanted River.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57691c8688190b225cbd88493d9d1 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.