Triple
T6332199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Hope Airport |
E142405
|
entity |
| Predicate | hasTransportCategory |
P70905
|
FINISHED |
| Object | international airport |
—
|
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: international airport | Statement: [Mount Hope Airport, hasTransportCategory, international airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransportCategory Context triple: [Mount Hope Airport, hasTransportCategory, international airport]
-
A.
hasTransportCode
Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
-
B.
hasCabType
Indicates that an entity is associated with or characterized by a specific type or category of cab.
-
C.
hasTransportationContext
Indicates that there is a contextual relationship involving transportation modes, conditions, or circumstances relevant to the associated entities or event.
-
D.
hasDriverCategory
Indicates that an entity (such as a vehicle or driving role) is associated with a specific driver category or license class.
-
E.
hasTransportAuthority
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c064c080148190a7c3218867f1f572 |
completed | March 22, 2026, 9:53 p.m. |
Created at: March 22, 2026, 4:30 p.m.