Triple
T20729149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YDLQ |
E509520
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | DNQ |
—
|
NE NERFINISHED |
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: DNQ | Statement: [YDLQ, hasIATACode, DNQ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DNQ Context triple: [YDLQ, hasIATACode, DNQ]
-
A.
DNQ
chosen
DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
-
B.
CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
-
C.
CDQ
CDQ is a Nigerian rapper known for his energetic Yoruba-language street hip-hop and collaborations with major Afrobeats artists.
-
D.
NQ
NQ is the station code for North Quincy, a Massachusetts Bay Transportation Authority (MBTA) Red Line rapid transit station in Quincy, Massachusetts.
-
E.
DQI
DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1eb5d44819082d9fa410e676d91 |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:30 p.m.