Triple
T14240029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Club |
E352979
|
entity |
| Predicate | hasAntenatalClassAsCentralElement |
P113355
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [In the Club, hasAntenatalClassAsCentralElement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAntenatalClassAsCentralElement Context triple: [In the Club, hasAntenatalClassAsCentralElement, true]
-
A.
hasMaternityUnit
Indicates that a facility or organization includes or operates a maternity unit where childbirth and related maternal care services are provided.
-
B.
hasPregnancyCategory
Indicates the classification of a drug or substance based on its known or potential risks when used during pregnancy.
-
C.
hadClass
Indicates that an entity attended or participated in a particular class or course.
-
D.
hasStageOfPregnancy
Indicates that an entity is in, or associated with, a specific stage or phase of pregnancy.
-
E.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239bd0f48190ada38c0261e0ef3c |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:08 a.m.