Triple
T18202093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odiongan |
E435814
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Romblon |
—
|
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: Romblon | Statement: [Odiongan, locatedIn, Romblon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romblon Context triple: [Odiongan, locatedIn, Romblon]
-
A.
Romblon
chosen
Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
-
B.
Romblon Bisaya
Romblon Bisaya is an Austronesian language spoken in the Philippine province of Romblon, closely related to other Visayan languages.
-
C.
Bohol Province
Bohol Province is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, white-sand beaches, and rich cultural heritage.
-
D.
Romblon Island
Romblon Island is a small island in the central Philippines known for its marble industry, coastal landscapes, and role as the capital island of Romblon province.
-
E.
Dinagat Islands
Dinagat Islands is a province in the Caraga region of the Philippines known for its rugged coastline, rich marine biodiversity, and relatively remote, less-developed island communities.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e220dca48190b54dabbd3c7c99b7 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.