Triple
T12999675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midfield Terminal |
E322134
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Terminal A |
unclear NED1
|
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: Terminal A | Statement: [Midfield Terminal, alsoKnownAs, Terminal A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal A Context triple: [Midfield Terminal, alsoKnownAs, Terminal A]
-
A.
Terminal A
Terminal A was one of the original passenger terminals at Shenzhen Bao’an International Airport, later decommissioned and demolished as the airport expanded and modernized its facilities.
-
B.
Terminal A
Terminal A is one of the passenger terminals at Hannover Airport in Germany, serving airline check-in, departures, and arrivals operations.
-
C.
Terminal A
Terminal A is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving specific flights and airlines within the airport’s terminal complex.
-
D.
Terminal A
Terminal A is one of the main passenger terminals at O. R. Tambo International Airport in Johannesburg, serving as a key hub for airline check-in, departures, and arrivals.
-
E.
Terminal A
Terminal A is one of the main passenger terminals at Trondheim Airport, Værnes in Norway, handling a significant share of the airport’s domestic and/or international air traffic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7b268c8190b8bb855e9de23c3b |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c101ea60819098e4d5fb3a9e803a |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:46 p.m.