Triple
T19269784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Capiz |
E481890
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Maayon |
—
|
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: Maayon | Statement: [Province of Capiz, hasMunicipality, Maayon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maayon Context triple: [Province of Capiz, hasMunicipality, Maayon]
-
A.
Maayon
chosen
Maayon is a rural municipality in the province of Capiz in the Philippines, known for its agricultural landscape and small-town community.
-
B.
Mayoon
Mayoon is a village in the Lower Hunza region of Gilgit-Baltistan, Pakistan, known for its mountainous landscape and traditional Hunza culture.
-
C.
Maayka
Maayka is an Indian television drama series centered on the struggles and relationships of a woman with her parental home after marriage.
-
D.
Magayon
Magayon is a legendary maiden from Bicolano folklore whose tragic love story is said to have inspired the name and mythic origins of Mayon Volcano in the Philippines.
-
E.
Maay Maay
Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbb74ec48190a58d96b4b5b9af00 |
completed | April 20, 2026, 10:11 a.m. |
Created at: April 10, 2026, 1:29 p.m.