Triple
T7203380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creinch |
E148604
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Torrinch |
E147220
|
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: Torrinch | Statement: [Creinch, hasNearbyIsland, Torrinch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrinch Context triple: [Creinch, hasNearbyIsland, Torrinch]
-
A.
Torrinch
chosen
Torrinch is a small, wooded island located in Scotland’s Loch Lomond, known for its natural beauty and wildlife.
-
B.
Yoncalla
Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
-
C.
Turrubares
Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
-
D.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94bfb2c81909ab492757435fce4 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfb5e27c8190867fb4968dea2e4e |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:52 p.m.