Triple
T5118083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jabalpur Airport |
E115386
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object | JLR |
E481685
|
NE 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: JLR | Statement: [Jabalpur Airport, IATAcode, JLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JLR Context triple: [Jabalpur Airport, IATAcode, JLR]
-
A.
JLR
chosen
JLR is the IATA airport code for Dumna Airport, which serves the city of Jabalpur in the Indian state of Madhya Pradesh.
-
B.
Jaguar Land Rover
Jaguar Land Rover is a British multinational automotive company known for designing and manufacturing luxury vehicles under the Jaguar and Land Rover brands.
-
C.
LEVC
LEVC is the ICAO airport code for Valencia Airport, the main international airport serving the city of Valencia in Spain.
-
D.
Bentley
Bentley is a small village and civil parish in Suffolk, England, known for its rural character and traditional English countryside setting.
-
E.
Bentley
Bentley is a British luxury automobile manufacturer renowned for its high-performance grand tourers and handcrafted interiors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4442ade0819087b9461f892b206b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ce1ea48190b283cae7bb9b72eb |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4a6a7988190b9beec3f0d9494d1 |
completed | March 21, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:41 p.m.