Triple
T12327432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomás Ángel |
E293867
|
entity |
| Predicate | usesFoot |
P2728
|
FINISHED |
| Object | football boots |
—
|
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: football boots | Statement: [Tomás Ángel, usesFoot, football boots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFoot Context triple: [Tomás Ángel, usesFoot, football boots]
-
A.
footType
Indicates the specific kind or classification of feet that an entity possesses or is characterized by.
-
B.
colorOfFoot
Indicates the specific color attribute associated with a foot.
-
C.
typicalFootprintLength
Indicates the usual or characteristic length of an entity’s footprint in a given context.
-
D.
dropFeet
Indicates that an entity lowers or places its feet down, typically from a raised or suspended position.
-
E.
usesEquipment
chosen
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.