Triple
T21975309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bulacan |
E542689
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Pandi |
—
|
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: Pandi | Statement: [Province of Bulacan, hasMunicipality, Pandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandi Context triple: [Province of Bulacan, hasMunicipality, Pandi]
-
A.
Pandi
chosen
Pandi is a landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing residential communities and proximity to Metro Manila.
-
B.
Pandi
Pandi is a municipality in the Cundinamarca Department of central Colombia, known for its rural landscapes and proximity to the Sumapaz páramo region.
-
C.
Pande
Pande is a surname commonly found in South Asia, particularly among Hindu communities in India and Nepal.
-
D.
Pandami
Pandami is a coastal municipality in the province of Sulu in the southern Philippines, known for its predominantly Muslim communities and marine-based livelihoods.
-
E.
Pandiali
Pandiali is a town and administrative settlement located in the Mohmand region of northwestern Pakistan.
- 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12487a1a88190abb8a51fcd533b6a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:03 p.m.