Triple
T20249316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itchan Kala |
E498507
|
entity |
| Predicate | hasGate |
P4365
|
FINISHED |
| Object | Tash Darvoza |
—
|
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: Tash Darvoza | Statement: [Itchan Kala, hasGate, Tash Darvoza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tash Darvoza Context triple: [Itchan Kala, hasGate, Tash Darvoza]
-
A.
Ota Darvoza
chosen
Ota Darvoza is the main western gate of the historic walled inner city of Itchan Kala in Khiva, Uzbekistan.
-
B.
Bogcha Darvoza
Bogcha Darvoza is one of the historic city gates of the walled inner town of Itchan Kala in Khiva, Uzbekistan.
-
C.
Liadsky Vorota
Liadsky Vorota is a historic city gate monument, also known as the Lyadski Vorota monument, that commemorates one of the traditional entrances to the old city.
-
D.
Duvar
Duvar is a notable literary work by Turkish poet and writer Attilâ İlhan, reflecting his early modernist and socially engaged style.
-
E.
Fangschleuse
Fangschleuse is a small locality in the state of Brandenburg, Germany, known primarily for its railway stop on regional lines.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a699b48190a2073a3bd8851125 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.