Triple
T38407365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claymoore Psychiatric Hospital |
E901368
|
entity |
| Predicate | hasFictionalWardType |
P202487
|
FINISHED |
| Object | locked ward |
—
|
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: locked ward | Statement: [Claymoore Psychiatric Hospital, hasFictionalWardType, locked ward]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalWardType Context triple: [Claymoore Psychiatric Hospital, hasFictionalWardType, locked ward]
-
A.
hasFictionalAdministration
Indicates that an entity is governed, managed, or overseen by an administration that is fictional rather than real.
-
B.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
C.
hasFictionalEstablishmentType
Indicates that an establishment is associated with a particular type or category of fictional setting or institution.
-
D.
hasFictionalStudentBodyType
Indicates that an entity is characterized by a type or category of student body that exists in a fictional or imaginary context.
-
E.
hasFictionalClinic
Indicates that an entity is associated with or contains a clinic that exists only in a fictional or imaginary context.
- 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_69f76e61e79c81908b787d83b46ab92b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
| PDg | Predicate description generation | batch_6a0087dd79788190911609d406255be3 |
completed | May 10, 2026, 1:27 p.m. |
Created at: May 3, 2026, 4:31 p.m.