Triple
T4856204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ares armoured personnel carrier |
E108541
|
entity |
| Predicate | hasHullLayout |
P10827
|
FINISHED |
| Object | front engine, rear troop compartment |
—
|
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: front engine, rear troop compartment | Statement: [Ares armoured personnel carrier, hasHullLayout, front engine, rear troop compartment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHullLayout Context triple: [Ares armoured personnel carrier, hasHullLayout, front engine, rear troop compartment]
-
A.
hasHullType
Indicates that an entity possesses or is characterized by a specific type or form of hull.
-
B.
hasLayout
chosen
Indicates that one entity defines or is associated with the structural arrangement or organization (layout) of another entity.
-
C.
hasCircuitLayout
Indicates that one entity possesses, includes, or is associated with a specific circuit layout design of another entity.
-
D.
hasTopology
Indicates that one entity possesses, exhibits, or is characterized by a particular structural or spatial configuration defined by the other entity.
-
E.
hasGeometry
Indicates that an entity is associated with a specific geometric representation or spatial form.
- 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_69bd440a89548190a5f14ba6da6b97dc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.