Triple
T19587379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerevan Metro |
E470137
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Charbakh station
Charbakh station is a metro station on the Yerevan Metro system in Yerevan, Armenia.
|
E1385591
|
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: Charbakh station | Statement: [Yerevan Metro, hasStation, Charbakh station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charbakh station Context triple: [Yerevan Metro, hasStation, Charbakh station]
-
A.
Kargar station
Kargar station is a metro stop on Tehran’s urban rail network serving passengers along Line 6.
-
B.
Koroglu station
Koroglu station is a metro station in Baku, Azerbaijan, serving as part of the city's Baku Metro rapid transit system.
-
C.
Shariati station
Shariati station is a metro station on the Mashhad Metro system in Mashhad, Iran, serving as a local public transit stop for commuters in the city.
-
D.
Icherisheher station
Icherisheher station is a metro station on the Baku Metro system serving the historic Old City area of Baku, Azerbaijan.
-
E.
Chilonzor station
Chilonzor station is a metro station on 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: Charbakh station Triple: [Yerevan Metro, hasStation, Charbakh station]
Generated description
Charbakh station is a metro station on the Yerevan Metro system in Yerevan, Armenia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charbakh station Target entity description: Charbakh station is a metro station on the Yerevan Metro system in Yerevan, Armenia.
-
A.
Kargar station
Kargar station is a metro stop on Tehran’s urban rail network serving passengers along Line 6.
-
B.
Koroglu station
Koroglu station is a metro station in Baku, Azerbaijan, serving as part of the city's Baku Metro rapid transit system.
-
C.
Shariati station
Shariati station is a metro station on the Mashhad Metro system in Mashhad, Iran, serving as a local public transit stop for commuters in the city.
-
D.
Icherisheher station
Icherisheher station is a metro station on the Baku Metro system serving the historic Old City area of Baku, Azerbaijan.
-
E.
Chilonzor station
Chilonzor station is a metro station on 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64052f61c81908bb49927d4246030 |
completed | April 20, 2026, 3:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075f12fe008190bf2aaf7c63c44467 |
completed | May 15, 2026, 5:59 p.m. |
| NEDg | Description generation | batch_6a0760583b588190b8f648acc26bc1ae |
completed | May 15, 2026, 6:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0761223cc081908e08a33eda54d222 |
completed | May 15, 2026, 6:08 p.m. |
Created at: April 10, 2026, 1:43 p.m.