Triple
T21539321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tor Wood |
E531438
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Torwood |
—
|
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: Torwood | Statement: [Tor Wood, locatedNear, Torwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torwood Context triple: [Tor Wood, locatedNear, Torwood]
-
A.
Torwood
chosen
Torwood is a small village in central Scotland, known for its historic castle ruins and nearby ancient woodland.
-
B.
Ligertwood
Ligertwood is a Scottish surname most notably borne by Alex Ligertwood, a singer and guitarist known for his work with the rock band Santana.
-
C.
Toron
Toron was a medieval lordship and fortress in the Crusader Kingdom of Jerusalem, located in what is now southern Lebanon.
-
D.
Shandar
Shandar was a French avant-garde record label known for releasing experimental and free jazz recordings in the 1970s.
-
E.
Tanneron
Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d10a2888190bc4e502a829c76a4 |
completed | April 26, 2026, 11:17 p.m. |
Created at: April 16, 2026, 6:27 p.m.