Triple
T10611137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negros Occidental |
E276009
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Silay |
E276007
|
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: Silay | Statement: [Negros Occidental, hasCity, Silay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silay Context triple: [Negros Occidental, hasCity, Silay]
-
A.
Silay
chosen
Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
-
B.
Sihala
Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
-
C.
Sila
Sila is a mountainous plateau in Calabria, southern Italy, known for its dense forests, lakes, and national park.
-
D.
Sulien
Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
-
E.
Silvan
Silvan is a masculine given name of Latin origin, commonly used in German-speaking countries and derived from the word for "forest" or "woods."
- 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.