Triple
T24942886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gates of Time |
E623506
|
entity |
| Predicate | framesEvent |
P86970
|
FINISHED |
| Object | moment of the 1995 bombing |
—
|
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: moment of the 1995 bombing | Statement: [Gates of Time, framesEvent, moment of the 1995 bombing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: framesEvent Context triple: [Gates of Time, framesEvent, moment of the 1995 bombing]
-
A.
framesAs
Indicates how one entity presents, characterizes, or interprets another entity or situation in a particular light or context.
-
B.
framesViewOf
chosen
Indicates that one entity provides a framing, perspective, or interpretive context through which another entity is viewed or understood.
-
C.
frame
Indicates placing or presenting something within a particular context, structure, or perspective that shapes how it is interpreted.
-
D.
frameControl
Indicates that one entity exerts influence over how another entity perceives, interprets, or defines a situation, thereby shaping the context or "frame" within which interactions occur.
-
E.
frameFunction
Indicates that one entity serves as a functional or structural frame that supports, constrains, or organizes another entity or process.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442b8479c8190a7c8e416ac9e28a0 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 5:31 a.m.