Triple
T2349168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver International Airport |
E47404
|
entity |
| Predicate | concourses |
P38660
|
FINISHED |
| Object | A |
—
|
LITERAL 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: A | Statement: [Denver International Airport, concourses, A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concourses Context triple: [Denver International Airport, concourses, A]
-
A.
isMainConcourseOf
Indicates that one concourse serves as the primary or central concourse within a larger facility or complex.
-
B.
hasNumberOfConcourses
Indicates the relationship specifying how many concourses are associated with a given entity.
-
C.
spires
Indicates that one entity rises or tapers upward in a tall, pointed, tower-like form from another entity.
-
D.
coCathedral
Indicates that a church shares the status and functions of a cathedral with another cathedral within the same diocese or ecclesiastical jurisdiction.
-
E.
cathedral
Indicates that an entity is a cathedral, i.e., it has the status or function of a principal church, typically one that is the seat of a bishop.
- F. None of above. chosen
Provenance (4 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abcb802da08190980100444010f91e |
completed | March 7, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69abc5981ce48190a3f7852d28276e11 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcb7ebb708190ba7edffee3c45d8b |
completed | March 7, 2026, 6:53 a.m. |
Created at: March 4, 2026, 7:54 p.m.