Triple
T18946719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibuyan Island |
E463532
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Magdiwang |
—
|
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: Magdiwang | Statement: [Sibuyan Island, hasMunicipality, Magdiwang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magdiwang Context triple: [Sibuyan Island, hasMunicipality, Magdiwang]
-
A.
Magdiwang
chosen
Magdiwang is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
-
B.
Guindulungan
Guindulungan is a municipality in the province of Maguindanao in the Bangsamoro Autonomous Region in Muslim Mindanao in the southern Philippines.
-
C.
Magsingal
Magsingal is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural lands and historic church.
-
D.
Babatngon
Babatngon is a coastal municipality in the province of Leyte in the Philippines, known for its fishing industry and rural communities.
-
E.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, 11:59 a.m.