Triple
T1097872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BB-31 |
E24309
|
entity |
| Predicate | followsInSequence |
P21351
|
FINISHED |
| Object | BB-30 |
—
|
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: BB-30 | Statement: [BB-31, followsInSequence, BB-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInSequence Context triple: [BB-31, followsInSequence, BB-30]
-
A.
followsFrom
Indicates that one fact, event, or state logically or causally results from, is implied by, or comes as a consequence of another.
-
B.
followsParallel
Indicates that one entity proceeds in the same general direction or sequence as another, maintaining a parallel course or progression without necessarily intersecting.
-
C.
followsCycle
Indicates that one entity adheres to or repeats a recurring sequence, pattern, or cycle defined or exemplified by another entity.
-
D.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
E.
followsInText
chosen
Indicates that one textual element appears immediately or subsequently after another within the same text.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9a1d3108190b2a304fef429848d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b745ef3481909a7ce4647c8567b3 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.