Triple
T6577741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No. 54 Squadron RAF |
E157210
|
entity |
| Predicate | hasSquadronCode |
P17886
|
FINISHED |
| Object |
DL
DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
|
E602398
|
NE FINISHED |
How this triple was built (4 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: [No. 54 Squadron RAF, hasSquadronCode, DL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DL Context triple: [No. 54 Squadron RAF, hasSquadronCode, 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
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DL Triple: [No. 54 Squadron RAF, hasSquadronCode, DL]
Generated description
DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DL Target entity description: DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
-
A.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
B.
DL
DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
-
C.
LD
LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
-
D.
LM
LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
-
E.
LM
LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
- F. None of above. chosen
Provenance (5 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae74fd90819091d67eec6381d5e0 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cba5cc708190a8748160a7878b8f |
completed | March 27, 2026, 6:25 p.m. |
| NEDg | Description generation | batch_69c6cd071be4819090d6adf0e27c99d2 |
completed | March 27, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce04855481908bfca416fda8c218 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:54 p.m.