Triple
T20025520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Burauen |
—
|
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: Burauen | Statement: [Province of Leyte, hasMunicipality, Burauen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burauen Context triple: [Province of Leyte, hasMunicipality, Burauen]
-
A.
Burauen
chosen
Burauen is a municipality in the province of Leyte in the Philippines, known for its rural landscapes and natural attractions such as springs and waterfalls.
-
B.
Baunei
Baunei is a coastal and mountain village in Sardinia, Italy, known for its dramatic limestone cliffs, hiking trails, and the famous Cala Goloritzé beach.
-
C.
Panabo
Panabo is a coastal component city in Davao del Norte, Philippines, known for its extensive banana plantations and role in the region’s agricultural economy.
-
D.
Hahaya
Hahaya is a village on Grande Comore in the Comoros best known for hosting the country’s main international airport.
-
E.
Salaga
Salaga is a historic town in northern Ghana that once served as a major hub in the trans-Saharan slave trade.
- 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.