Triple
T20025523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Alangalang |
—
|
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: Alangalang | Statement: [Province of Leyte, hasMunicipality, Alangalang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alangalang Context triple: [Province of Leyte, hasMunicipality, Alangalang]
-
A.
Alangalang
chosen
Alangalang is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines, known primarily as an agricultural town.
-
B.
Alang
Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
-
C.
Galyang
Galyang is a town in Nepal that serves as one of the local urban centers within Syangja District in the Gandaki Province.
-
D.
Talaandig
The Talaandig are an indigenous Manobo subgroup in the Philippines known for their rich oral traditions, music, and rituals rooted in ancestral land and forest stewardship.
-
E.
Alukuyana
Alukuyana is an alternative name for the Wayana language, an indigenous Cariban language spoken in parts of Brazil, Suriname, and French Guiana.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.