Triple
T37364342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peters family |
E927669
|
entity |
| Predicate | operatesTypeOfPlace |
P43750
|
FINISHED |
| Object | waterfall attraction |
—
|
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: waterfall attraction | Statement: [Peters family, operatesTypeOfPlace, waterfall attraction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesTypeOfPlace Context triple: [Peters family, operatesTypeOfPlace, waterfall attraction]
-
A.
operatesFacilitiesType
Indicates that an entity runs or manages facilities of a specified type.
-
B.
venueTypeOperated
chosen
Indicates that an entity operates or manages a venue of a specified type.
-
C.
operatedEstablishmentIn
Indicates that an entity ran or managed an establishment located within a specified place or jurisdiction.
-
D.
operatesNear
Indicates that one entity performs its activities or functions in close physical proximity to another entity.
-
E.
operatesBy
Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a02f2d6f35481909829d4ec710dcb0f |
completed | May 12, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a02f15a2460819080cb4be5b50221d0 |
completed | May 12, 2026, 9:22 a.m. |
Created at: May 3, 2026, 4:16 p.m.