Triple
T7507989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurangabad Airport |
E177440
|
entity |
| Predicate | providesConnectivityTo |
P60933
|
FINISHED |
| Object | major Indian cities |
—
|
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: major Indian cities | Statement: [Aurangabad Airport, providesConnectivityTo, major Indian cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesConnectivityTo Context triple: [Aurangabad Airport, providesConnectivityTo, major Indian cities]
-
A.
connectsTo
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
B.
connectsCityTo
chosen
Indicates a relationship in which a route, infrastructure, or link joins one city to another, enabling connection or interaction between them.
-
C.
connectivity
Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
-
D.
connectsArea
Indicates that one area serves as a link or passage between two other areas, enabling movement or interaction between them.
-
E.
connectsPartOf
Indicates a relationship where one entity serves to link or join a component to the larger whole of which that component is a part.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.