Triple
T123219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Times Notable Books |
E2489
|
entity |
| Predicate | listType |
P5109
|
FINISHED |
| Object | recommendation list |
—
|
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: recommendation list | Statement: [New York Times Notable Books, listType, recommendation list]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listType Context triple: [New York Times Notable Books, listType, recommendation list]
-
A.
listedOn
Indicates that an item, entity, or piece of information appears as an entry on a particular list, platform, or catalog.
-
B.
libraryType
Indicates the specific category or classification of a library based on its function, scope, or organizational role.
-
C.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
D.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
E.
trackType
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
- 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.