Triple
T21350578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fragment: The Gate |
E526464
|
entity |
| Predicate | hasSegmentRole |
P83678
|
FINISHED |
| Object | distinct section within Electric Light |
—
|
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: distinct section within Electric Light | Statement: [The Fragment: The Gate, hasSegmentRole, distinct section within Electric Light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSegmentRole Context triple: [The Fragment: The Gate, hasSegmentRole, distinct section within Electric Light]
-
A.
hasSegmentOn
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
B.
hasSectionRole
chosen
Indicates that an entity holds a specific role or function within a particular section or subdivision of a larger structure or context.
-
C.
hasSegmentWith
Indicates that an entity contains or includes at least one segment that satisfies a specified condition or matches a given segment.
-
D.
hasSegmentBasedOn
Indicates that one segment is derived from, modeled after, or constructed using another segment as its basis.
-
E.
hasRegularSegment
Indicates that an entity includes or is associated with a segment that occurs in a consistent, repeating, or standard pattern.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad31087481909d41e9d28286f04d |
completed | April 22, 2026, 11:12 a.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:04 p.m.