Triple
T11582431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torghar District |
E274661
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Judba |
E934798
|
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: Judba | Statement: [Torghar District, administrativeCenter, Judba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Judba Context triple: [Torghar District, administrativeCenter, Judba]
-
A.
Judba
chosen
Judba is a small town in Pakistan’s Khyber Pakhtunkhwa province that serves as the administrative and political center of Torghar District.
-
B.
Tanca
Tanca was a historical figure known primarily as the assassin of King Jayanegara of the Majapahit Kingdom in 14th-century Java.
-
C.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
D.
The Dance
"The Dance" is a painting by French Rococo artist Antoine Watteau, exemplifying his elegant, theatrical scenes of aristocratic leisure and refined movement.
-
E.
The Dance
The Dance is a painting by Dutch Golden Age artist Abraham Bloemaert, known for its dynamic composition and elegant depiction of figures in motion.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904db5748190ae5f10ae86ccdf46 |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a78d80448190a93ca0ebfbd7e3a4 |
completed | April 22, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:38 p.m.