Triple
T4529199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panay Island |
E106252
|
entity |
| Predicate | hasProvince |
P285
|
FINISHED |
| Object | Antique |
E235988
|
NE FINISHED |
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: Antique | Statement: [Panay Island, hasProvince, Antique]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antique Context triple: [Panay Island, hasProvince, Antique]
-
A.
Antique
chosen
Antique is a coastal province in the Western Visayas region of the Philippines, known for its rugged mountains, hot springs, and rich cultural traditions.
-
B.
Antiguoko
Antiguoko is a Spanish youth football club known for developing talented players who go on to professional careers.
-
C.
Old World
Old World is a historical-geographical term referring to Africa, Europe, and Asia, the parts of the world known to Europeans before the discovery of the Americas.
-
D.
Vintage International
Vintage International is a literary imprint known for publishing acclaimed classic and contemporary fiction and nonfiction in paperback editions.
-
E.
Old Georgian
Old Georgian is the earliest attested stage of the Georgian language, used in medieval religious, literary, and official texts of the Caucasus region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd5779593081908593537b9239e01b |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda45eadd0819093429e14c88a161d |
completed | March 20, 2026, 7:47 p.m. |
Created at: March 20, 2026, 1:03 p.m.