Triple
T22554005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douala International Airport |
E557630
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object | DLA |
—
|
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: DLA | Statement: [Douala International Airport, IATA code, DLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DLA Context triple: [Douala International Airport, IATA code, DLA]
-
A.
DLA
DLA is the commonly used abbreviation for the Delhi Legislative Assembly, the unicameral law-making body of the National Capital Territory of Delhi in India.
-
B.
DLA
chosen
DLA is the IATA airport code for Douala International Airport, the main air gateway to Douala, Cameroon.
-
C.
DLA
DLA is a UK social security benefit that provides financial support to people with disabilities to help cover the extra costs of care and mobility.
-
D.
DLA
DLA is the standard abbreviation for a damped Lyman-alpha system, a type of quasar absorption feature indicating large reservoirs of neutral hydrogen gas in the universe.
-
E.
dal
Dal is a traditional military-religious regiment or armed unit within the Nihang Sikh order, known for its distinct martial discipline and spiritual devotion.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f780fb88190836408c6de3d3966 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.