Triple
T20837204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nad Ali |
E512989
|
entity |
| Predicate | borderingDistrict |
P224
|
FINISHED |
| Object | Marjah |
—
|
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: Marjah | Statement: [Nad Ali, borderingDistrict, Marjah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjah Context triple: [Nad Ali, borderingDistrict, Marjah]
-
A.
Marjah
chosen
Marjah is a rural agricultural town in southern Afghanistan that gained international attention as a major Taliban stronghold and the focus of a large NATO offensive in 2010.
-
B.
Kunduz
Kunduz is a strategically important city in northern Afghanistan known for its contested control during the Afghan conflict and its role as a regional commercial and transport hub.
-
C.
Kandahar
Kandahar is a historic city in southern Afghanistan that has long served as a major political, cultural, and commercial center in the region.
-
D.
Kafr Takharim
Kafr Takharim is a town in northwestern Syria known for its location in the Idlib region and its involvement in the Syrian civil conflict.
-
E.
خيبر
خيبر واحة تاريخية في شمال غرب الجزيرة العربية اشتهرت بحصونها ومعركتها الشهيرة في صدر الإسلام.
- 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_69e0b4cf62a88190bbf92351e9e57259 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3280a1881909a86d1fe498aee50 |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:42 p.m.