Triple
T22019771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirdi |
E543809
|
entity |
| Predicate | airConnectivity |
P36910
|
FINISHED |
| Object | domestic flights to 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: domestic flights to major Indian cities | Statement: [Shirdi, airConnectivity, domestic flights to major Indian cities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airConnectivity Context triple: [Shirdi, airConnectivity, domestic flights to major Indian cities]
-
A.
connectivityFeatures
chosen
Indicates the types of network or communication options that are available or supported for connecting to or through an entity.
-
B.
connectivityMode
Indicates how two or more entities are linked or able to communicate with each other, such as the type or method of connection used between them.
-
C.
supportsAirLink
Indicates that one entity is capable of establishing or maintaining an AirLink wireless connection with another entity.
-
D.
connectivity
Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
-
E.
nearbyConnectionViaPassageways
Indicates that two locations are close to each other and are connected specifically through one or more passageways.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c6b5fc8190bc49ddb058f28a44 |
completed | April 28, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:23 p.m.