Triple
T12456250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Checkerdome |
E297666
|
entity |
| Predicate | nicknamePeriod |
P105098
|
FINISHED |
| Object | late 1970s |
—
|
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: late 1970s | Statement: [Checkerdome, nicknamePeriod, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknamePeriod Context triple: [Checkerdome, nicknamePeriod, late 1970s]
-
A.
nicknameForRole
Indicates that one entity is an informal or alternative name commonly used to refer to a particular role or position represented by another entity.
-
B.
nicknamePattern
Indicates that one entity serves as a nickname or informal name pattern for another entity.
-
C.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
-
D.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
-
E.
previousNamePeriod
Indicates the time span during which an entity was known by a former name before changing to its current name.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:56 p.m.