Triple
T10611140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Occidental |
E276009
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Victorias |
E276008
|
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: Victorias | Statement: [Negros Occidental, hasCity, Victorias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Victorias Context triple: [Negros Occidental, hasCity, Victorias]
-
A.
Victorias
chosen
Victorias is a city in the Philippine province of Negros Occidental known for its sugar industry and historic Victorias Milling Company.
-
B.
Victoria
Victoria is the Roman goddess of victory, often depicted as a winged female figure symbolizing triumph and success.
-
C.
Victoria
Victoria is a Canadian national honour recognizing outstanding achievement and service, associated with the motto of the Order of Canada (CVO).
-
D.
Victoria
Victoria is a popular Mexican lager beer brand owned by global brewing company AB InBev.
-
E.
Victoria
Victoria is a central character in Stephen Adly Guirgis’s dark comedy play "The Motherfucker with the Hat," known for her volatile relationship dynamics and sharp, streetwise personality.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df5a1450819082ad445712fb7868 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ec61b388190adee9b3577567709 |
completed | April 10, 2026, 8:34 p.m. |
Created at: April 8, 2026, 7:33 p.m.