Triple
T22169949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daikundi-Uruzgan internal boundary |
E547891
|
entity |
| Predicate | adjacentToEthnicRegion |
P17964
|
FINISHED |
| Object | Hazara-inhabited areas |
—
|
LITERAL 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: Hazara-inhabited areas | Statement: [Daikundi-Uruzgan internal boundary, adjacentToEthnicRegion, Hazara-inhabited areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentToEthnicRegion Context triple: [Daikundi-Uruzgan internal boundary, adjacentToEthnicRegion, Hazara-inhabited areas]
-
A.
geographicallyAdjacentTo
Indicates that two geographic entities share a common boundary or are directly next to each other in space.
-
B.
neighboringRegion
chosen
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
-
C.
nearEthnicGroup
Indicates that one entity is located geographically close to an ethnic group.
-
D.
adjacentProvince
Indicates that two provinces share a common boundary and are directly next to each other geographically.
-
E.
regionalNeighbor
Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
- F. None of above.
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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.