Triple
T24673568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonia Pottinger |
E610912
|
entity |
| Predicate | acquiredCatalogOf |
P147897
|
FINISHED |
| Object | Treasure Isle label |
—
|
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: Treasure Isle label | Statement: [Sonia Pottinger, acquiredCatalogOf, Treasure Isle label]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquiredCatalogOf Context triple: [Sonia Pottinger, acquiredCatalogOf, Treasure Isle label]
-
A.
acquiredFor
Indicates that one entity obtained or purchased another entity specifically for the benefit, use, or purpose of a third entity.
-
B.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means of another entity.
-
C.
acquisitionCategory
Indicates the type or classification of an acquisition associated with an entity or transaction.
-
D.
catalogueFor
Indicates that one entity serves as a catalog or organized listing that describes, indexes, or inventories another entity.
-
E.
acquiredProduct
chosen
Indicates that one entity has obtained ownership or control of another entity through an acquisition.
- F. None of above.
Provenance (3 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:50 a.m.