Triple
T35232743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scout Gandia Street |
E1017284
|
entity |
| Predicate | hasEstablishmentsType |
P133166
|
FINISHED |
| Object | small commercial establishments |
—
|
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: small commercial establishments | Statement: [Scout Gandia Street, hasEstablishmentsType, small commercial establishments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEstablishmentsType Context triple: [Scout Gandia Street, hasEstablishmentsType, small commercial establishments]
-
A.
hasEstablishment
Indicates that one entity possesses, operates, or is associated with a particular establishment (such as a business, facility, or institution).
-
B.
establishmentType
chosen
Indicates the specific kind or category of establishment that an entity is classified as.
-
C.
hasDrinkingEstablishmentType
Indicates the specific kind or category of drinking establishment associated with an entity (e.g., bar, pub, nightclub).
-
D.
operatedEstablishmentIn
Indicates that an entity ran or managed an establishment located within a specified place or jurisdiction.
-
E.
hasBusinesses
Indicates that an entity owns, operates, or is associated with one or more businesses.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.