Triple
T15006297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takeovers Panel |
E377719
|
entity |
| Predicate | establishedToReplace |
P81350
|
FINISHED |
| Object | primary role of courts in takeover disputes |
—
|
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: primary role of courts in takeover disputes | Statement: [Takeovers Panel, establishedToReplace, primary role of courts in takeover disputes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishedToReplace Context triple: [Takeovers Panel, establishedToReplace, primary role of courts in takeover disputes]
-
A.
createdToReplace
chosen
Indicates that one entity was intentionally created for the purpose of taking over the role, function, or position of another entity.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
D.
establishedTo
Indicates that one entity was created, founded, or set up for the purpose of serving, supporting, or enabling another entity.
-
E.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.