Triple
T35188413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Psychiatric Help 5¢ |
E1016051
|
entity |
| Predicate | hasBoothOperator |
P195205
|
FINISHED |
| Object | Lucy van Pelt |
—
|
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: Lucy van Pelt | Statement: [Psychiatric Help 5¢, hasBoothOperator, Lucy van Pelt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoothOperator Context triple: [Psychiatric Help 5¢, hasBoothOperator, Lucy van Pelt]
-
A.
hasBooth
Indicates that one entity operates, occupies, or is assigned a booth associated with another entity (such as an event, venue, or location).
-
B.
hasCollectorBooth
Indicates that an entity has an associated collector booth, typically a designated place or station where collection-related activities (such as payments, tickets, or items) are handled.
-
C.
hasCampOperator
Indicates that a camp is operated or managed by a specific operator or organization.
-
D.
hasParkOperator
Indicates that a park is operated or managed by a specific organization or individual.
-
E.
hasCinemaOperator
Indicates that a cinema is operated, managed, or run by a specific organization or individual.
- 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69fdb04d37288190969a0f39d92efb49 |
completed | May 8, 2026, 9:43 a.m. |
Created at: May 3, 2026, 4:02 p.m.