Triple
T22748061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Daanbantayan |
E562608
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Agujo |
—
|
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: Agujo | Statement: [Municipality of Daanbantayan, hasBarangay, Agujo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agujo Context triple: [Municipality of Daanbantayan, hasBarangay, Agujo]
-
A.
Agujo
chosen
Agujo is a coastal barangay in the municipality of Daanbantayan in Cebu, Philippines.
-
B.
Anguinán
Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
-
C.
Escuñau
Escuñau is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
-
D.
Elciego
Elciego is a small wine-producing town in Spain’s Rioja Alavesa region, known for its historic wineries and striking contemporary architecture.
-
E.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b702388190b134dde5f80ea3cd |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.