Triple
T7827344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scudetto shield |
E181279
|
entity |
| Predicate | locationOnKit |
P79227
|
FINISHED |
| Object | chest area |
—
|
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: chest area | Statement: [Scudetto shield, locationOnKit, chest area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOnKit Context triple: [Scudetto shield, locationOnKit, chest area]
-
A.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
B.
locationInSystem
Indicates that one entity is situated within or belongs to the spatial or organizational bounds of a particular system.
-
C.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
D.
locationOnSquare
Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
-
E.
locationExample
Indicates that one entity serves as an example or illustrative instance of a particular location associated with another entity.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a7f3b8819080f8a8283d6118fb |
completed | March 30, 2026, 11:18 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:43 p.m.