Triple
T138518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mojave Air and Space Port |
E2799
|
entity |
| Predicate | hasHelipads |
P5946
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mojave Air and Space Port, hasHelipads, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHelipads Context triple: [Mojave Air and Space Port, hasHelipads, yes]
-
A.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
B.
containsAirfield
Indicates that a location or area includes at least one airfield within its boundaries.
-
C.
hasElevators
Indicates that one entity is equipped with or contains one or more elevators for vertical transportation.
-
D.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
-
E.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2570f45bc81909ebba7ee5f602976 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.