Triple
T14172025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masbate Island |
E351231
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Palanas |
E915655
|
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: Palanas | Statement: [Masbate Island, hasMunicipality, Palanas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palanas Context triple: [Masbate Island, hasMunicipality, Palanas]
-
A.
Palanas
chosen
Palanas is a coastal municipality located in the province of Masbate in the Bicol Region of the Philippines.
-
B.
Calabarzon
Calabarzon is a populous and industrialized region in the southern part of Luzon in the Philippines, known for its mix of urban centers, agricultural areas, and manufacturing hubs.
-
C.
Pototan
Pototan is a first-class municipality in the Philippine province of Iloilo, known for its agricultural economy and its popular Christmas lights festival.
-
D.
Pinangat
Pinangat is a traditional Filipino dish from the Bicol Region made of taro leaves, coconut milk, and chilies, known for its rich, spicy flavor.
-
E.
Allacapan
Allacapan is a rural municipality in the province of Cagayan in the Cagayan Valley region of the Philippines.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf808e6088190a607903be0f2adc7 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:01 a.m.