Triple
T123181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Times Notable Books |
E2489
|
entity |
| Predicate | recurrence |
P5108
|
FINISHED |
| Object | yearly |
—
|
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: yearly | Statement: [New York Times Notable Books, recurrence, yearly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recurrence Context triple: [New York Times Notable Books, recurrence, yearly]
-
A.
restriction
Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
-
B.
constant
Indicates that the relationship or value does not change across different instances, contexts, or over time.
-
C.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
D.
after
Indicates that one event, state, or action occurs later in time than another, following it in temporal order.
-
E.
preambleRecalls
Indicates that a preamble references or brings back into consideration a prior statement, event, or context.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.