Triple
T6187808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dholera |
E138105
|
entity |
| Predicate | transportPlanned |
P69563
|
FINISHED |
| Object | expressway connectivity to Ahmedabad |
—
|
LITERAL FINISHED |
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: expressway connectivity to Ahmedabad | Statement: [Dholera, transportPlanned, expressway connectivity to Ahmedabad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportPlanned Context triple: [Dholera, transportPlanned, expressway connectivity to Ahmedabad]
-
A.
transportationPlanned
Indicates that an arrangement has been made for someone or something to be transported from one place to another.
-
B.
transportAdvisory
Indicates that guidance, warnings, or recommendations are being issued regarding transportation conditions, operations, or usage.
-
C.
transportIncludes
Indicates that a broader transport operation or service encompasses, contains, or makes use of a specific transport segment, mode, or component as part of its overall movement.
-
D.
travelPattern
Indicates the typical routes, frequencies, and behaviors associated with how an entity moves or travels between locations.
-
E.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
- F. None of above. chosen
Provenance (4 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06217be288190997032c8c4839fa5 |
completed | March 22, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c055fa0a808190bda37832e3ac150c |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c87340819088003f427706ebf8 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:19 p.m.