Triple
T19587380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yerevan Metro |
E470137
|
entity |
| Predicate | terminusStation |
P15150
|
FINISHED |
| Object | Barekamutyun station |
—
|
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: Barekamutyun station | Statement: [Yerevan Metro, terminusStation, Barekamutyun station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barekamutyun station Context triple: [Yerevan Metro, terminusStation, Barekamutyun station]
-
A.
Barekamutyun station
chosen
Barekamutyun station is a key underground stop on the Yerevan Metro system in Armenia’s capital city.
-
B.
Hankar station
Hankar station is a Brussels Metro station on the city's Line 5, serving the Auderghem municipality in southeastern Brussels.
-
C.
Imbiah station
Imbiah station is a monorail station on Singapore’s Sentosa Island serving the Imbiah attractions area along the Sentosa Express line.
-
D.
Nanlishilu station
Nanlishilu station is a subway station on Line 1 of the Beijing Subway serving the Nanlishi Road area in central Beijing.
-
E.
Batutulis Station
Batutulis Station is a small railway station in Bogor, West Java, Indonesia, serving local commuter and regional train services on the line south of Bogor.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64052f61c81908bb49927d4246030 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.