Triple
T9594180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4.5 inch Mark 8 naval gun |
E231488
|
entity |
| Predicate | mountWeight |
P70576
|
FINISHED |
| Object | approximately 21 tonnes |
—
|
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 21 tonnes | Statement: [4.5 inch Mark 8 naval gun, mountWeight, approximately 21 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountWeight Context triple: [4.5 inch Mark 8 naval gun, mountWeight, approximately 21 tonnes]
-
A.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
B.
weightSupport
Indicates that one entity bears or carries the physical weight of another, providing structural or mechanical support.
-
C.
weightLimitInKilograms
Indicates the maximum allowable weight for something, expressed in kilograms.
-
D.
weightLimitInPounds
Indicates the maximum allowable weight for something, expressed in pounds.
-
E.
وزن
chosen
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a134b0c81908a568e5d2ecfbb92 |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.