Triple
T15527948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEVD |
E369131
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Villanubla |
E369129
|
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: Villanubla | Statement: [LEVD, locatedNear, Villanubla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villanubla Context triple: [LEVD, locatedNear, Villanubla]
-
A.
Villanubla
chosen
Villanubla is a municipality in the province of Valladolid, Spain, known for hosting the main airport serving the city of Valladolid.
-
B.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
-
C.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
D.
Villaba
Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
-
E.
Villagarzón
Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff997b9c9081908f6a68e28a50a359 |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:05 a.m.