Triple
T21665704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimaq people |
E534708
|
entity |
| Predicate | traditionalProduct |
P3553
|
FINISHED |
| Object | Aimaq kilims |
—
|
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: Aimaq kilims | Statement: [Aimaq people, traditionalProduct, Aimaq kilims]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aimaq kilims Context triple: [Aimaq people, traditionalProduct, Aimaq kilims]
-
A.
Aimaqs
chosen
The Aimaqs are a collection of semi-nomadic, Persian-speaking ethnic groups primarily inhabiting western and central Afghanistan.
-
B.
Kilij
The Kilij is a traditional Ottoman Turkish curved saber known for its distinctive flared tip and use by cavalry and infantry across the Ottoman Empire.
-
C.
Kharakhoja
Kharakhoja is an ancient oasis city in present-day Xinjiang, China, historically known as a key Silk Road trading and cultural center.
-
D.
Akhulgo
Akhulgo was a heavily fortified mountain stronghold in Dagestan that served as Imam Shamil’s key base during the Murid War against the Russian Empire.
-
E.
Akmil
Akmil is the Indonesian Military Academy, a premier institution responsible for training and educating future officers of the Indonesian Army.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef6c0b26c8819092c13e59dcc3c25c |
completed | April 27, 2026, 2 p.m. |
Created at: April 16, 2026, 6:36 p.m.