Triple
T10665920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almaty Metro |
E251356
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Sayran
Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
|
E878317
|
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: Sayran | Statement: [Almaty Metro, hasStation, Sayran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayran Context triple: [Almaty Metro, hasStation, Sayran]
-
A.
Selenge
Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
-
B.
Khorol
Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
-
C.
Sary
Sary is a surname that functions as a variant spelling of the family name Sari, found in various cultural and linguistic contexts.
-
D.
Bayanhot
Bayanhot is the administrative center and main urban settlement of Alxa League in western Inner Mongolia, China.
-
E.
Namdrik
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
- 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: Sayran Triple: [Almaty Metro, hasStation, Sayran]
Generated description
Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sayran Target entity description: Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
-
A.
Selenge
Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
-
B.
Khorol
Khorol is a town in central Ukraine historically situated within the former Poltava Governorate of the Russian Empire.
-
C.
Sary
Sary is a surname that functions as a variant spelling of the family name Sari, found in various cultural and linguistic contexts.
-
D.
Bayanhot
Bayanhot is the administrative center and main urban settlement of Alxa League in western Inner Mongolia, China.
-
E.
Namdrik
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f31f87748190bb44db8afa901763 |
completed | April 9, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9885dc17881909df20abedd9da5e3 |
completed | April 10, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69d98a945ecc8190b5aae7511a537650 |
completed | April 10, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98b187c808190b785a46bb88d48fc |
completed | April 10, 2026, 11:43 p.m. |
Created at: April 8, 2026, 9:08 p.m.