Triple
T9576037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CommuniCore |
E231047
|
entity |
| Predicate | replacedBy |
P101
|
FINISHED |
| Object | Innoventions |
E231048
|
NE 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: Innoventions | Statement: [CommuniCore, replacedBy, Innoventions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Innoventions Context triple: [CommuniCore, replacedBy, Innoventions]
-
A.
Innoventions
chosen
Innoventions was an interactive exhibit pavilion at Epcot in Walt Disney World that showcased emerging technologies and hands-on science displays.
-
B.
Nova Innovation
Nova Innovation is a renewable energy company specializing in the design, manufacture, and deployment of tidal energy turbines and projects.
-
C.
Innogen
Innogen is the original name of Imogen, the virtuous and wronged heroine of William Shakespeare’s play "Cymbeline."
-
D.
Invetech
Invetech is a technology and product development company specializing in designing and engineering innovative medical and life science solutions.
-
E.
Innosight
Innosight is a strategy and innovation consulting firm co-founded by disruptive innovation theorist Clayton Christensen, known for helping organizations navigate transformational growth and change.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99ac17a48190bb8448394f22b1e9 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152c3f1e8819099f3f9d0f1d2d7b3 |
completed | April 4, 2026, 6:04 p.m. |
Created at: March 30, 2026, 8:05 p.m.