Triple
T27749162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semi-Automatic Ground Environment |
E702069
|
entity |
| Predicate | numberOfDirectionCenters |
P63968
|
FINISHED |
| Object | more than 20 |
—
|
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: more than 20 | Statement: [Semi-Automatic Ground Environment, numberOfDirectionCenters, more than 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDirectionCenters Context triple: [Semi-Automatic Ground Environment, numberOfDirectionCenters, more than 20]
-
A.
hasNumberOfDirections
Indicates that an entity is associated with a specific count of possible directions or orientations.
-
B.
hasNumberOfCentres
chosen
Indicates the relationship specifying how many centers (or central units/locations) are associated with a given entity.
-
C.
numberOfDistributionCenters
Indicates the quantity of distribution centers associated with a given entity.
-
D.
urbanCentersCount
Indicates the number of urban centers associated with or contained within a given entity.
-
E.
distanceFromCityCenterDirection
Indicates the distance and compass direction of a location relative to the center of a specified city.
- F. None of above.
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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: April 27, 2026, 4:18 p.m.