Triple
T35528601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unije airfield |
E1026735
|
entity |
| Predicate | distanceToSeaMeters |
P15760
|
FINISHED |
| Object | near sea coast |
—
|
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: near sea coast | Statement: [Unije airfield, distanceToSeaMeters, near sea coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSeaMeters Context triple: [Unije airfield, distanceToSeaMeters, near sea coast]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
hasMaximumDistanceFromCoast
Indicates that an entity is located at the greatest possible distance from any coastline within a specified area or context.
-
C.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
D.
hasElevationRelativeToSeaLevel
Indicates the elevation or height of an entity measured relative to mean sea level.
-
E.
distanceFromCurrentAralSeaShoreline
Indicates the measured spatial separation between a given location and the present-day shoreline of the Aral Sea.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:04 p.m.