Triple
T27809979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Royal Curios and Curiosities |
E702491
|
entity |
| Predicate | offersMerchandiseFor |
P10882
|
FINISHED |
| Object | Pirates of the Caribbean |
—
|
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: Pirates of the Caribbean | Statement: [Port Royal Curios and Curiosities, offersMerchandiseFor, Pirates of the Caribbean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersMerchandiseFor Context triple: [Port Royal Curios and Curiosities, offersMerchandiseFor, Pirates of the Caribbean]
-
A.
offersProduct
chosen
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
B.
offersMass
Indicates that one entity provides or makes available a certain mass or quantity of material or substance to another entity.
-
C.
offersObject
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
D.
offersServiceOn
Indicates that one entity provides or makes a service available on, during, or through another entity (such as a platform, date, or location).
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- 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_69ef840a16748190926719ab96120bae |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 27, 2026, 5:41 p.m.