Triple
T5547817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darband |
E145452
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Derbent |
E25016
|
NE FINISHED |
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: Derbent | Statement: [Darband, alsoKnownAs, Derbent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derbent Context triple: [Darband, alsoKnownAs, Derbent]
-
A.
Derbent
chosen
Derbent is an ancient fortified city in the Republic of Dagestan, Russia, strategically located on the Caspian Sea and known as one of the oldest continuously inhabited cities in the region.
-
B.
Derbent
Derbent is a small rural district and town in Turkey’s Konya Province, known for its highland landscapes and agricultural character.
-
C.
Urgench
Urgench is a city in western Uzbekistan that serves as the administrative center of Khorezm Region and a gateway to the historic city of Khiva.
-
D.
Panjikent
Panjikent was an important ancient Sogdian city in present-day Tajikistan, known for its well-preserved wall paintings and role as a Silk Road trading center.
-
E.
Kizlyar
Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe0244c8190aeb995f79f22a039 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cf1c66c819099e2cde5e1c7bec0 |
completed | March 22, 2026, 8:11 p.m. |
Created at: March 22, 2026, 3:35 p.m.