Triple
T20976331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawa-I-Barakzayi District |
E516635
|
entity |
| Predicate | provinceCapitalNearby |
P28400
|
FINISHED |
| Object | Lashkargah |
—
|
NE NERFINISHED |
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: Lashkargah | Statement: [Nawa-I-Barakzayi District, provinceCapitalNearby, Lashkargah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lashkargah Context triple: [Nawa-I-Barakzayi District, provinceCapitalNearby, Lashkargah]
-
A.
Lashkargah
chosen
Lashkargah is a key urban and administrative center in southern Afghanistan, serving as the capital of Helmand Province and a strategic hub in the region.
-
B.
Shahgarh
Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
-
C.
Pakdasht
Pakdasht is a city in Tehran Province, Iran, known as an industrial and agricultural hub located southeast of Tehran.
-
D.
Farashband
Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
-
E.
Shahdad
Shahdad is an oasis town in Iran’s Kerman Province, known as a gateway to the Lut Desert (Dasht-e Lut) and its striking desert landscapes and kalut formations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:47 p.m.