Triple
T7290386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TI-73 Explorer |
E164375
|
entity |
| Predicate | hasSuccessorModel |
P16897
|
FINISHED |
| Object | TI-73 Explorer with updated OS |
—
|
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: TI-73 Explorer with updated OS | Statement: [TI-73 Explorer, hasSuccessorModel, TI-73 Explorer with updated OS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorModel Context triple: [TI-73 Explorer, hasSuccessorModel, TI-73 Explorer with updated OS]
-
A.
hasModernSuccessor
Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
-
B.
successorModel
chosen
Indicates that one model is the direct follow-up or replacement for another earlier model.
-
C.
hasSuccessorTitleHolder
Indicates that one entity is the next title holder or office bearer succeeding another entity in a given position or title.
-
D.
hasMoreAggressiveSuccessor
Indicates that one entity is followed or replaced by another entity that exhibits a higher level of aggressiveness in behavior, strategy, or effect.
-
E.
hasNotableSuccessorType
Indicates that an entity has a successor whose type or category is considered notably significant or distinguished in relation to it.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6d4e308190af6b8c237988d7d8 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.