Triple
T13592200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delhi–Mumbai Expressway |
E324718
|
entity |
| Predicate | hasFlyovers |
P21875
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Delhi–Mumbai Expressway, hasFlyovers, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlyovers Context triple: [Delhi–Mumbai Expressway, hasFlyovers, yes]
-
A.
hasSkyway
chosen
Indicates that there is an elevated, usually enclosed walkway or bridge connecting two or more structures or areas.
-
B.
flightOver
Indicates that one entity moves through the air above or across another entity or area.
-
C.
hasFlySystem
Indicates that one entity (typically a venue or stage) is equipped with a fly system for lifting, lowering, and suspending scenery, lighting, or other stage elements.
-
D.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
-
E.
hasHelicopterTraffic
Indicates that there is regular or notable helicopter movement or operations occurring in or over a given area or location.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.