Triple
T4774976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas/Fort Worth International Airport |
E106021
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object | Terminal E |
E108161
|
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 E | Statement: [Dallas/Fort Worth International Airport, hasTerminal, Terminal E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal E Context triple: [Dallas/Fort Worth International Airport, hasTerminal, Terminal E]
-
A.
Terminal E
Terminal E is an international satellite terminal at Zurich Airport primarily serving long-haul and non-Schengen flights.
-
B.
Terminal E
Terminal E is one of the passenger terminals at Sheremetyevo International Airport in Moscow, serving international flights with modern facilities and connections to adjacent terminals.
-
C.
Terminal E
Terminal E is the international terminal at Boston Logan International Airport, serving most of the airport’s overseas flights and customs operations.
-
D.
Terminal E
chosen
Terminal E is one of the passenger terminals at Dallas/Fort Worth International Airport, serving various domestic and some international flights with multiple gates and amenities.
-
E.
Terminal E
Terminal E is one of the passenger terminals at Philadelphia International Airport, primarily serving domestic airline operations and regional flights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6584481081908f1041a8827e0b42 |
completed | March 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d8e724c8190bfca713d5d022be6 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:21 p.m.