Triple
T35614570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VC-137C |
E1029129
|
entity |
| Predicate | successorBaseModel |
P16897
|
FINISHED |
| Object | Boeing 747-200B |
—
|
NE NERFINISHED |
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: Boeing 747-200B | Statement: [VC-137C, successorBaseModel, Boeing 747-200B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorBaseModel Context triple: [VC-137C, successorBaseModel, Boeing 747-200B]
-
A.
successorModel
chosen
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
B.
successorType
Indicates the specific kind or category of successor relationship that holds between one entity and the next in a sequence or hierarchy.
-
C.
successorClass
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
-
D.
successorInterface
Indicates that one interface directly follows and replaces another interface in a sequence or version lineage.
-
E.
successorInstanceOf
Indicates that one entity is a later or updated instance of another, preserving a continuity or versioned succession between them.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:05 p.m.