Triple
T21208175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torgu municipality |
E522644
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Torgu-Torgu |
—
|
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: Torgu-Torgu | Statement: [Torgu municipality, containsSettlement, Torgu-Torgu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torgu-Torgu Context triple: [Torgu municipality, containsSettlement, Torgu-Torgu]
-
A.
Torgu
chosen
Torgu is a small village in Saare County, Estonia, located on the island of Saaremaa.
-
B.
Torgos
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
-
C.
Gorgany
Gorgany is a rugged mountain range in the Eastern Carpathians of western Ukraine, known for its dense forests, rocky terrain, and rich biodiversity.
-
D.
Turgi
Turgi is a small Swiss municipality in the canton of Aargau, known for its residential character and proximity to the town of Baden.
-
E.
Torgya
Torgya is a traditional Buddhist festival of the Monpa people in Arunachal Pradesh, India, marked by ritual dances, masked performances, and prayers for peace and prosperity.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734362c788190bc1b96d3b84c0ad1 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:25 p.m.