Triple
T21501150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingirdag |
E530476
|
entity |
| Predicate | culturalRegion |
P1968
|
FINISHED |
| Object | Gobustan |
—
|
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: Gobustan | Statement: [Jingirdag, culturalRegion, Gobustan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gobustan Context triple: [Jingirdag, culturalRegion, Gobustan]
-
A.
Gobustan
chosen
Gobustan is a region of Azerbaijan renowned for its ancient rock engravings, archaeological sites, and mud volcanoes, recognized as a UNESCO World Heritage Site.
-
B.
Akhsikent
Akhsikent was a historic Central Asian city in the Fergana Valley, known as an important cultural and commercial center along the Silk Road.
-
C.
Saqqez
Saqqez is a historically significant Kurdish city in western Iran known as one of the main urban centers of Kurdistan Province.
-
D.
Kizil Caves
The Kizil Caves are an extensive complex of ancient Buddhist rock-cut cave temples in Xinjiang, China, renowned for their early, richly colored murals and significance along the Silk Road.
-
E.
Dashoguz
Dashoguz is a prominent city in northern Turkmenistan, serving as a regional administrative and economic center near the border with Uzbekistan.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5be400819093e2b7e145254eab |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:24 p.m.