Triple
T11951796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange and Blue |
E284442
|
entity |
| Predicate | typeOfIdentityElement |
P102442
|
FINISHED |
| Object | club identity nickname |
—
|
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: club identity nickname | Statement: [Orange and Blue, typeOfIdentityElement, club identity nickname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfIdentityElement Context triple: [Orange and Blue, typeOfIdentityElement, club identity nickname]
-
A.
hasIdentityElement
Indicates that a binary operation on a set has a special element which, when combined with any element of the set, leaves that element unchanged.
-
B.
typeOfZero
Indicates that one entity is classified as a specific kind or category of the number zero.
-
C.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
D.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
E.
invariantType
Indicates that one entity has a type or classification that remains constant or unchanged under specified conditions or transformations.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90364c2608190a3946c9595c71164 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.