Triple
T11746109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buner District |
E279284
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Daggar |
E944619
|
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: Daggar | Statement: [Buner District, administrativeCenter, Daggar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daggar Context triple: [Buner District, administrativeCenter, Daggar]
-
A.
Daggar
chosen
Daggar is a town in Pakistan that serves as the administrative and commercial center of Buner District in Khyber Pakhtunkhwa province.
-
B.
Daggi
Daggi is a German diminutive form of the female given name Dagmar, often used as an affectionate nickname.
-
C.
Glamaig
Glamaig is a prominent, steep-sided conical mountain on the Isle of Skye in Scotland, known as one of the most striking peaks of the Red Cuillin range.
-
D.
The Dag
The Dag is one of Immortan Joe’s enslaved wives in the post-apocalyptic action film "Mad Max: Fury Road," known for her rebellious attitude and distinctive, ethereal appearance.
-
E.
The Spear
The Spear is the nickname of the U.S. Air Force’s 53rd Wing, a unit known for operational testing and evaluation of advanced weapons and systems.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4f2a38c8190a682d8dae1ab9415 |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0902f8c448190a71512353788ef09 |
completed | April 28, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:41 p.m.