Triple
T8297987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Delhi |
E194268
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | DL |
E312197
|
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: DL | Statement: [South Delhi, vehicleRegistrationCode, DL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DL Context triple: [South Delhi, vehicleRegistrationCode, DL]
-
A.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
B.
DL
chosen
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
-
C.
DL
DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
-
D.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
E.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7dfa040c8190ab801b3910e39142 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68b6ad30819090d34d8e79cee634 |
completed | April 1, 2026, 6:49 p.m. |
Created at: March 30, 2026, 5:53 p.m.