Triple
T7303455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korab |
E167914
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Debar |
E320574
|
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: Debar | Statement: [Korab, nearestTown, Debar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debar Context triple: [Korab, nearestTown, Debar]
-
A.
Debar
chosen
Debar is a small town in western North Macedonia known for its proximity to Mount Korab and the Macedonian–Albanian border.
-
B.
Debije
Debije is the Dutch spelling of the surname of Peter Debye, the Nobel Prize–winning physical chemist known for his work in molecular structure and dipole moments.
-
C.
Borsad
Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
-
D.
Debir
Debir is an ancient Canaanite city mentioned in the Hebrew Bible, located in the hill country of Judah and associated with Israelite conquest narratives.
-
E.
Behdet
Behdet is an ancient Egyptian cult center in the Nile Delta particularly associated with the worship of the god Horus.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e55bfccc8190a46067c60c3c1a3f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.