Triple
T18104341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valencians |
E433309
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Torrent |
—
|
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: Torrent | Statement: [Valencians, majorCity, Torrent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrent Context triple: [Valencians, majorCity, Torrent]
-
A.
Torrent
chosen
Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
-
B.
Fo
Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
-
C.
East Millstone, New Jersey is an unincorporated community and census-designated place in Franklin Township, Somerset County, known for its historic character and residential setting.
-
D.
Surquillo is a district in the Lima Province of Peru, known for its central urban location and bustling commercial activity within the Lima metropolitan area.
-
E.
Giang Biên is a ward-level administrative area in Long Biên District of Hanoi, Vietnam.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddb8dd308190a9c98ac2b1d8b872 |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 10, 2026, 10:28 a.m.