Triple
T17713170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EAR2 |
E441620
|
entity |
| Predicate | hasFlightPathLength |
P1525
|
FINISHED |
| Object | approximately 20 m |
—
|
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: approximately 20 m | Statement: [EAR2, hasFlightPathLength, approximately 20 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlightPathLength Context triple: [EAR2, hasFlightPathLength, approximately 20 m]
-
A.
hasWalkingPathLength
Indicates the length or distance of a designated walking path associated with an entity.
-
B.
hasLongDistancePathAccess
Indicates that an entity has the ability or right to use a path or route that spans a long distance.
-
C.
supportsPathLengthUpTo
Indicates that an entity can accommodate or function correctly with paths whose length does not exceed a specified maximum value.
-
D.
hasTrailLength
Indicates that an entity (such as a trail or route) has a specific measured length.
-
E.
flightDistance
chosen
Indicates the measured distance covered by a flight between its origin and destination.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729cebd08190872be96a26d0f7ce |
completed | April 19, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:06 a.m.