Triple
T20428298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apparition Test Centre |
E501061
|
entity |
| Predicate | regulatesSkill |
P60803
|
FINISHED |
| Object | Apparition |
—
|
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: Apparition | Statement: [Apparition Test Centre, regulatesSkill, Apparition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regulatesSkill Context triple: [Apparition Test Centre, regulatesSkill, Apparition]
-
A.
requiresSkill
Indicates that performing or engaging in one entity (e.g., a task or role) depends on possessing or applying a specific skill represented by the other entity.
-
B.
indicatesSkill
Indicates a relationship where one entity possesses, demonstrates, or is associated with a particular skill represented by another entity.
-
C.
regulatesCompetenceIn
chosen
Indicates that one entity controls, influences, or modulates the ability or readiness of another entity to perform a specific function or process.
-
D.
developsSkill
Indicates that one entity causes or contributes to the growth, improvement, or acquisition of a particular skill in another entity.
-
E.
validatesSkill
Indicates that one entity confirms or verifies the authenticity, correctness, or adequacy of another entity’s skill or competency.
- 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_69e0b4aa68fc8190b1a14c55575ef04a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67baa91b881909dfd68ccca25063c |
completed | April 20, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.