Triple
T2701761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Combat Uniform |
E59245
|
entity |
| Predicate | hasPocketType |
P42075
|
FINISHED |
| Object | cargo pockets on trousers |
—
|
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: cargo pockets on trousers | Statement: [Army Combat Uniform, hasPocketType, cargo pockets on trousers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPocketType Context triple: [Army Combat Uniform, hasPocketType, cargo pockets on trousers]
-
A.
pouchType
Indicates the specific kind or category of pouch associated with an entity.
-
B.
hasPin
Indicates that one entity possesses, includes, or is equipped with a specific pin (such as a connector pin, security PIN, or fastening pin).
-
C.
hasPad
Indicates that one entity possesses, is equipped with, or is associated with a pad (such as a cushion, tablet, or protective surface).
-
D.
hasRuku
Indicates that an entity performs, contains, or is associated with a ruku (the bowing posture/section) within a prayer or recitation structure.
-
E.
hasPar
Indicates a relationship where one entity has another entity as its parent.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda4e679c8190a2926284568d9020 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.