Triple
T15776545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tashkent Metro |
E382505
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Gafur Gulom station
Gafur Gulom station is a metro station in Tashkent, Uzbekistan, named after the prominent Uzbek writer Gafur Ghulam.
|
E1181263
|
NE FINISHED |
How this triple was built (4 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: Gafur Gulom station | Statement: [Tashkent Metro, hasStation, Gafur Gulom station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gafur Gulom station Context triple: [Tashkent Metro, hasStation, Gafur Gulom station]
-
A.
Yunusobod station
Yunusobod station is a metro station on the Tashkent Metro system in Tashkent, Uzbekistan.
-
B.
Alisher Navoiy station
Alisher Navoiy station is a Tashkent Metro station named after the famed Uzbek poet Alisher Navoi and noted for its distinctive architectural and artistic design.
-
C.
Amir Temur Xiyoboni station
Amir Temur Xiyoboni station is a metro station in Tashkent, Uzbekistan, named after the historic figure Amir Timur and serving as part of the city's rapid transit network.
-
D.
Beruniy station
Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
-
E.
Paxtakor station
Paxtakor station is a metro station in the Tashkent Metro system in Tashkent, Uzbekistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gafur Gulom station Triple: [Tashkent Metro, hasStation, Gafur Gulom station]
Generated description
Gafur Gulom station is a metro station in Tashkent, Uzbekistan, named after the prominent Uzbek writer Gafur Ghulam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gafur Gulom station Target entity description: Gafur Gulom station is a metro station in Tashkent, Uzbekistan, named after the prominent Uzbek writer Gafur Ghulam.
-
A.
Yunusobod station
Yunusobod station is a metro station on the Tashkent Metro system in Tashkent, Uzbekistan.
-
B.
Alisher Navoiy station
Alisher Navoiy station is a Tashkent Metro station named after the famed Uzbek poet Alisher Navoi and noted for its distinctive architectural and artistic design.
-
C.
Amir Temur Xiyoboni station
Amir Temur Xiyoboni station is a metro station in Tashkent, Uzbekistan, named after the historic figure Amir Timur and serving as part of the city's rapid transit network.
-
D.
Beruniy station
Beruniy station is a metro station in Tashkent, Uzbekistan, serving as part of the city's Tashkent Metro rapid transit system.
-
E.
Paxtakor station
Paxtakor station is a metro station in the Tashkent Metro system in Tashkent, Uzbekistan.
- F. None of above. chosen
Provenance (5 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05199cd8881909462462cec34d35a |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9361f5c8190b68702154d05bbc2 |
completed | May 9, 2026, 9:37 p.m. |
| NEDg | Description generation | batch_69ffaa3903408190b7beaa6b461bd2bd |
completed | May 9, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffab0c79d4819085f0ed6a4edcb7fb |
completed | May 9, 2026, 9:45 p.m. |
Created at: April 10, 2026, 4:47 a.m.