Triple
T34524743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distance Measuring Equipment |
E886369
|
entity |
| Predicate | measuresDistanceBetween |
P27195
|
FINISHED |
| Object | aircraft |
—
|
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: aircraft | Statement: [Distance Measuring Equipment, measuresDistanceBetween, aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measuresDistanceBetween Context triple: [Distance Measuring Equipment, measuresDistanceBetween, aircraft]
-
A.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
distanceMetric
chosen
Indicates a quantitative measure of how far apart two entities are within a given space or according to a specified metric.
-
C.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
D.
minimumDistanceFormula
Indicates the mathematical expression used to compute the smallest possible distance between specified entities or geometric objects.
-
E.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb5aa008190a40453a4139851b3 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.