Triple
T26173276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 8 (old numbering) |
E654467
|
entity |
| Predicate | passedThroughCity |
P10456
|
FINISHED |
| Object | Gurugram |
—
|
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: Gurugram | Statement: [National Highway 8 (old numbering), passedThroughCity, Gurugram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passedThroughCity Context triple: [National Highway 8 (old numbering), passedThroughCity, Gurugram]
-
A.
passesCity
chosen
Indicates that a route, path, or journey goes through or traverses a particular city as part of its course.
-
B.
passesNearCity
Indicates that the path, route, or trajectory of one entity goes close to, but not necessarily through, a specified city.
-
C.
passesThroughCapital
Indicates that a route, path, or trajectory goes through or intersects the capital city of a given region or country.
-
D.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
E.
enteredCity
Indicates that an entity has moved into or arrived within the boundaries of a specific 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 26, 2026, 8:36 p.m.