Triple
T18749489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 1D |
E458489
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Terminal 1 |
—
|
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: Terminal 1 | Statement: [Terminal 1D, partOf, Terminal 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal 1 Context triple: [Terminal 1D, partOf, Terminal 1]
-
A.
Terminal 1
Terminal 1 is one of the passenger terminals at Raleigh–Durham International Airport, serving as a primary facility for airline check-in, security screening, and boarding.
-
B.
Terminal 1
Terminal 1 is one of the main passenger terminals at Adolfo Suárez Madrid–Barajas Airport in Madrid, Spain, handling a significant share of the airport’s international and domestic flights.
-
C.
Terminal 1
Terminal 1 is one of the main passenger terminals at Dublin Airport, handling a large share of the airport’s short-haul and European flights.
-
D.
Terminal 1
Terminal 1 is a main passenger terminal at Birmingham Airport in the United Kingdom, handling check-in, security, departures, and arrivals for various domestic and international flights.
-
E.
Terminal 1
Terminal 1 is the main passenger terminal building of Mactan–Cebu International Airport in the Philippines, handling the bulk of its domestic and some international flights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579eb7350819099d7291207781116 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.