Triple
T23359136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahinog |
E593134
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Pandan |
—
|
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: Pandan | Statement: [Mahinog, hasBarangay, Pandan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pandan Context triple: [Mahinog, hasBarangay, Pandan]
-
A.
Pandan
chosen
Pandan is a coastal municipality in the province of Catanduanes in the Philippines, known for its rural communities and access to the Pacific coastline.
-
B.
Pambo
Pambo was an early Christian Desert Father and ascetic monk associated with the monastic community of Scetis in Egypt.
-
C.
Pandesara
Pandesara is an industrial and residential suburb located within the Surat metropolitan region in the Indian state of Gujarat.
-
D.
Mambog
Mambog is a barangay (village-level administrative division) located in the municipality of Botolan in the province of Zambales, Philippines.
-
E.
Makuti
Makuti is a small settlement in northern Zimbabwe that serves as a key junction and rest stop on the main road between Harare, Kariba, and Chirundu.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:29 p.m.