Triple
T8109631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PH |
E189314
|
entity |
| Predicate | hasFormatPart |
P35800
|
FINISHED |
| Object | PH NN XXX |
—
|
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: PH NN XXX | Statement: [PH, hasFormatPart, PH NN XXX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormatPart Context triple: [PH, hasFormatPart, PH NN XXX]
-
A.
hasFormatElement
Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
-
B.
hasMatchFormat
Indicates that something (such as a game, event, or competition) is conducted according to a specified match format or structure.
-
C.
hasFormatCurrent
Indicates that an entity is available or expressed in the currently used or most up-to-date format.
-
D.
hasPanelFormat
Indicates that something is associated with a particular panel layout or format used for its presentation or display.
-
E.
formatPartOf
chosen
Indicates that one entity functions as a component or segment within the overall structure or composition of another entity.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
Created at: March 30, 2026, 5:32 p.m.