Triple
T3852302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neutral Buoyancy Laboratory |
E85323
|
entity |
| Predicate | hasApproximatePoolDepth |
P9310
|
FINISHED |
| Object | about 12 meters |
—
|
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: about 12 meters | Statement: [Neutral Buoyancy Laboratory, hasApproximatePoolDepth, about 12 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximatePoolDepth Context triple: [Neutral Buoyancy Laboratory, hasApproximatePoolDepth, about 12 meters]
-
A.
hasApproximateDepth
chosen
Indicates that an entity is associated with a depth value that is not exact but estimated or approximate.
-
B.
hasPoolLength
Indicates that an entity (such as a pool) has a specific measured length.
-
C.
hasPool
Indicates that one entity possesses, includes, or is equipped with a swimming pool.
-
D.
hasAverageDepth
Indicates that an entity possesses a specified mean depth value, typically measured over its entire extent or area.
-
E.
hasApproximateLeaves
Indicates that one entity possesses a number of leaves that is approximately equal to the number of leaves of another entity.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec01f7b48190ba1ec89328b3fccb |
completed | March 9, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.