Triple
T31704742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sting Ray torpedo |
E809147
|
entity |
| Predicate | launchTubeDiameterStandard |
P176043
|
FINISHED |
| Object | 324 millimetres |
—
|
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: 324 millimetres | Statement: [Sting Ray torpedo, launchTubeDiameterStandard, 324 millimetres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchTubeDiameterStandard Context triple: [Sting Ray torpedo, launchTubeDiameterStandard, 324 millimetres]
-
A.
throatDiameter
Indicates the width or size of the opening of a passage or tube-like structure, typically where flow is most constricted.
-
B.
pipeDiameter
Indicates that one entity specifies or measures the diameter of a pipe associated with another entity.
-
C.
tunnelDiameterCharacteristic
Indicates the specified diameter-related property or measurement associated with a tunnel.
-
D.
typicalCaseDiameter
Indicates the usual or standard diameter value associated with an object or case in typical conditions.
-
E.
barrelDiameter
Indicates the width of a cylindrical barrel measured across its cross-section.
- F. None of above. chosen
Provenance (4 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db6a38d881909ecc75cc527910f2 |
completed | May 3, 2026, 5:21 a.m. |
Created at: April 30, 2026, 11:13 p.m.