Triple
T22748065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Daanbantayan |
E562608
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Carnaza |
—
|
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: Carnaza | Statement: [Municipality of Daanbantayan, hasBarangay, Carnaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carnaza Context triple: [Municipality of Daanbantayan, hasBarangay, Carnaza]
-
A.
Carnaza
chosen
Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
-
B.
Cascarrafa
Cascarrafa is a picturesque, water-themed city in the Paldea region of the Pokémon world, known for its cascading waterfalls, tiered layout, and bustling marketplace.
-
C.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
D.
Spoccia
Spoccia is a small village in northern Italy that forms one of the local subdivisions of the municipality of Cannobio in the Piedmont region.
-
E.
Catarella
Catarella is a comically clumsy yet loyal police officer and switchboard operator in Andrea Camilleri’s Inspector Montalbano series.
- 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.