Triple
T19227762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anda beaches |
E480783
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Anda, Bohol |
—
|
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: Anda, Bohol | Statement: [Anda beaches, locatedIn, Anda, Bohol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anda, Bohol Context triple: [Anda beaches, locatedIn, Anda, Bohol]
-
A.
Anda, Bohol
chosen
Anda, Bohol is a coastal municipality in the Philippines known for its white-sand beaches, caves, and coral reefs on the eastern side of Bohol Island.
-
B.
Carmen, Bohol
Carmen, Bohol is a landlocked municipality in the central part of Bohol, Philippines, best known as the home of the famous Chocolate Hills.
-
C.
Alicia, Bohol
Alicia, Bohol is a rural municipality in the Philippine province of Bohol known for its agricultural landscape and small-town community.
-
D.
San Miguel, Bohol
San Miguel, Bohol is a rural municipality in the interior of Bohol province in the Philippines, known for its agricultural landscape and small-town community.
-
E.
Talibon, Bohol
Talibon, Bohol is a coastal municipality in the province of Bohol in the Philippines, known historically as a fishing and trading town and now serving as a local commercial and transportation hub.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa9968e88190b14844715ff3aa2a |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 10, 2026, 1:25 p.m.