Triple
T27343272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Lightweight Tank |
E684166
|
entity |
| Predicate | massComparedToPredecessor |
P162200
|
FINISHED |
| Object | significantly reduced |
—
|
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: significantly reduced | Statement: [Super Lightweight Tank, massComparedToPredecessor, significantly reduced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massComparedToPredecessor Context triple: [Super Lightweight Tank, massComparedToPredecessor, significantly reduced]
-
A.
comparedToPredecessor
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
B.
detailLevelComparedToPredecessor
Indicates how the level of detail of an entity compares to that of its immediate predecessor (e.g., more detailed, less detailed, or similar).
-
C.
scaleComparison
Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
-
D.
emissionsComparedToPredecessor
Indicates how the emissions of an entity compare in magnitude (e.g., higher, lower, or equal) to those of its immediate predecessor.
-
E.
densityComparedTo
Indicates a comparison between the densities of two entities, specifying which is denser or how their densities relate.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62b9f5514819088c3a1e11c65a9af |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 11:44 a.m.