Triple
T22868375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aghvank |
E567118
|
entity |
| Predicate | religiousCenter |
P1191
|
FINISHED |
| Object | Partav |
—
|
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: Partav | Statement: [Aghvank, religiousCenter, Partav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Partav Context triple: [Aghvank, religiousCenter, Partav]
-
A.
Partav
chosen
Partav was a major historical city in the Caucasus region, serving as a key political and cultural center of Caucasian Albania.
-
B.
Karashahr
Karashahr is an ancient oasis town in Xinjiang, China, historically significant as a Silk Road hub and a key center of the Indo-European–speaking Tocharian culture.
-
C.
Zhob
Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
-
D.
Khorog
Khorog is a remote mountain town in eastern Tajikistan that serves as the capital of the Gorno-Badakhshan Autonomous Region and a key hub in the Pamir Mountains.
-
E.
Girgit
Girgit is a popular Tulu-language comedy thriller film known for its humorous take on contemporary coastal Karnataka life.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f02c8b8819095cbee626f935fed |
completed | April 29, 2026, 3:46 a.m. |
Created at: April 17, 2026, 3:38 p.m.