Triple
T28530948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Lights Pocket Poets |
E722039
|
entity |
| Predicate | associatedBookstore |
P203417
|
FINISHED |
| Object | City Lights Bookstore |
—
|
NE NERFINISHED |
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: City Lights Bookstore | Statement: [City Lights Pocket Poets, associatedBookstore, City Lights Bookstore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBookstore Context triple: [City Lights Pocket Poets, associatedBookstore, City Lights Bookstore]
-
A.
usedAsBookstoreTo
Indicates that one entity functions or is utilized as a bookstore for another entity.
-
B.
associatedRetailer
Indicates that one entity has a business or operational connection with a particular retailer, such as partnership, distribution, or sales affiliation.
-
C.
operatedBookstore
Indicates that one entity managed and ran the day-to-day operations of a bookstore owned or controlled by another entity.
-
D.
favoriteStore
Indicates that one entity is the preferred or most liked store of another entity.
-
E.
ownedBookPublisher
Indicates that a book publisher is owned by a particular entity (such as a person, company, or organization).
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a017a360f088190acd5933aa353e763 |
completed | May 11, 2026, 6:41 a.m. |
| PD | Predicate disambiguation | batch_6a0179d3f78c8190b1d2e8829619fa54 |
completed | May 11, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_6a017a354d648190b036e9dad3211857 |
completed | May 11, 2026, 6:41 a.m. |
Created at: April 28, 2026, 3:28 a.m.