Triple
T22695181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INGRID |
E561155
|
entity |
| Predicate | baselineToFarDetector |
P116262
|
FINISHED |
| Object | approximately 295 km |
—
|
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 295 km | Statement: [INGRID, baselineToFarDetector, approximately 295 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baselineToFarDetector Context triple: [INGRID, baselineToFarDetector, approximately 295 km]
-
A.
distanceToFarDetector
chosen
Indicates the measured or calculated distance from a given entity to the designated far detector.
-
B.
farDetectorLocation
Indicates that one entity is located at or corresponds to the position of a far (distant) detector relative to another reference point or system.
-
C.
hasFarDetector
Indicates that an entity is equipped with or associated with a detector positioned at a relatively large distance from a reference point or source.
-
D.
farDetectorState
Indicates the operational status or condition of a detector that is located at a distant or remote position relative to a reference point.
-
E.
hasFarDetectorFunction
Indicates that an entity possesses a function or capability specifically related to detecting objects, signals, or phenomena at a long or extended distance.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789d46c881908176bc8e26f366f6 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:14 p.m.