Triple
T6395454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayo Vallecano |
E143929
|
entity |
| Predicate | hasLocalIdentity |
P59181
|
FINISHED |
| Object | strong Vallecas identity |
—
|
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: strong Vallecas identity | Statement: [Rayo Vallecano, hasLocalIdentity, strong Vallecas identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalIdentity Context triple: [Rayo Vallecano, hasLocalIdentity, strong Vallecas identity]
-
A.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
B.
localIdentity
chosen
Indicates that an entity’s identity or role is defined specifically within a particular local context, scope, or environment, rather than globally.
-
C.
hasIdentityComponent
Indicates that an entity includes or is associated with a specific component that contributes to or defines its identity.
-
D.
hasRegionalIdentity
Indicates that an entity possesses or is associated with a specific regional or local identity.
-
E.
hasDistinctIdentity
Indicates that an entity possesses its own unique, distinguishable identity separate from other entities.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69c060f25c088190b433f78553ff1d84 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:35 p.m.