Triple
T35725310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-6 highway |
E1032595
|
entity |
| Predicate | hasCurrentNameOfCityOnRoute |
P155037
|
FINISHED |
| Object | Vanadzor |
—
|
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: Vanadzor | Statement: [M-6 highway, hasCurrentNameOfCityOnRoute, Vanadzor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCurrentNameOfCityOnRoute Context triple: [M-6 highway, hasCurrentNameOfCityOnRoute, Vanadzor]
-
A.
hasCurrentCoreCityName
Indicates that an entity is associated with its present or officially recognized core city name.
-
B.
currentCityName
Indicates the name of the city where the entity is currently located.
-
C.
hasCityServedCurrentName
chosen
Indicates that the current name of a city is the one used in the context of being served (e.g., by a service, route, or organization).
-
D.
hasTargetCity
Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
-
E.
isInCity
Indicates that one entity is located within the geographical boundaries of a specified city.
- F. None of above.
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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:05 p.m.