Triple
T9460367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lashkargah |
E228128
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Gereshk |
E512986
|
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: Gereshk | Statement: [Lashkargah, nearbyCity, Gereshk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gereshk Context triple: [Lashkargah, nearbyCity, Gereshk]
-
A.
Gereshk
chosen
Gereshk is a strategically important town in southern Afghanistan known for its location along the Helmand River and the main highway connecting Kandahar to Herat.
-
B.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
-
C.
Qorveh
Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
-
D.
Jajrud
Jajrud is a river in northern Iran that flows through the Alborz Mountains toward the Tehran region.
-
E.
Jalalaqsi
Jalalaqsi is a town in central Somalia that serves as a local administrative and commercial center within the Hirshabelle State.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcaf610819092bcd3b871665aa5 |
completed | April 1, 2026, 8:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122965aa48190bb35202b8dd0fdbd |
completed | April 4, 2026, 2:39 p.m. |
Created at: March 30, 2026, 7:52 p.m.