Triple
T14172022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masbate Island |
E351231
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Cawayan |
E915649
|
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: Cawayan | Statement: [Masbate Island, hasMunicipality, Cawayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cawayan Context triple: [Masbate Island, hasMunicipality, Cawayan]
-
A.
Cawayan
chosen
Cawayan is a coastal municipality in the province of Masbate in the Philippines, known for its fishing communities and rural agricultural economy.
-
B.
Kawayan
Kawayan is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines.
-
C.
Acawayo
Acawayo is an alternative name for the Akawaio language, an indigenous Cariban language spoken by the Akawaio people of northern South America.
-
D.
Cuyonon
Cuyonon is an Austronesian language spoken primarily by the Cuyonon people of Palawan and nearby islands in the Philippines.
-
E.
Nabawan
Nabawan is a rural town and district in the interior of Sabah, Malaysia, known for its indigenous communities and agricultural activities.
- 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.