Triple
T26674103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Nottingham |
E672411
|
entity |
| Predicate | hasCreationStatus |
P167756
|
FINISHED |
| Object | extinct |
—
|
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: extinct | Statement: [Earl of Nottingham, hasCreationStatus, extinct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreationStatus Context triple: [Earl of Nottingham, hasCreationStatus, extinct]
-
A.
hasCreation
Indicates a relationship where one entity is the creator or originator of another entity.
-
B.
statusOfFirstCreation
Indicates the condition or state associated with an entity’s initial act of creation or first-time establishment.
-
C.
createdStatus
Indicates that an entity has been newly created and is in its initial or just-established state within a system or process.
-
D.
statusOfMostRecentCreation
Indicates the current state or condition of the most recently created item or entity in a given context.
-
E.
hasFirstCreation
Indicates that one entity is the earliest or initial creation produced by another entity.
- F. None of above. chosen
Provenance (4 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 27, 2026, 3:15 a.m.