Triple
T18849025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastéis de Belém |
E460990
|
entity |
| Predicate | establishmentType |
P133166
|
FINISHED |
| Object | historic bakery |
—
|
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: historic bakery | Statement: [Pastéis de Belém, establishmentType, historic bakery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: establishmentType Context triple: [Pastéis de Belém, establishmentType, historic bakery]
-
A.
legalEstablishment
Indicates that an entity has been formally created, recognized, or brought into existence according to legal rules or procedures.
-
B.
hasEstablishment
Indicates that one entity possesses, operates, or is associated with a particular establishment (such as a business, facility, or institution).
-
C.
operatedEstablishmentIn
Indicates that an entity ran or managed an establishment located within a specified place or jurisdiction.
-
D.
eligibleBusinessType
Indicates that a business entity qualifies under specified criteria to be considered an eligible type for a particular program, rule, or context.
-
E.
merchantType
Indicates the category or classification of a merchant based on the type of goods or services they provide or the business model they operate under.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5b8f1abdc819081638ed384da191e |
completed | April 20, 2026, 5:26 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:56 a.m.