Triple
T15957858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asia/Hebron |
E386980
|
entity |
| Predicate | formatStyle |
P94390
|
FINISHED |
| Object | Area/Location |
—
|
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: Area/Location | Statement: [Asia/Hebron, formatStyle, Area/Location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatStyle Context triple: [Asia/Hebron, formatStyle, Area/Location]
-
A.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
syntaxStyle
Indicates the stylistic or structural conventions used in the form or arrangement of an expression, statement, or code.
-
C.
formatAfter
Indicates that one entity’s format or structural arrangement is derived from, follows, or is applied subsequent to another entity’s format.
-
D.
styleFor
chosen
Indicates a relationship where one entity defines, specifies, or is used as the style or styling configuration applied to another entity.
-
E.
formatMayChange
Indicates that the format or structure of something is subject to modification and may not remain consistent over time.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.