Triple
T27201405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMAS Watson |
E683743
|
entity |
| Predicate | isTrainingEstablishment |
P2858
|
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: [HMAS Watson, isTrainingEstablishment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTrainingEstablishment Context triple: [HMAS Watson, isTrainingEstablishment, true]
-
A.
isEducationCentre
Indicates that an entity functions as a place or institution where educational activities, instruction, or learning services are provided.
-
B.
trainingInstitution
chosen
Indicates that one entity serves as the institution or organization where another entity receives training or education.
-
C.
isSecondaryEducationInstitution
Indicates that an entity functions as an institution providing secondary-level education (typically between primary and higher/tertiary education).
-
D.
operatesInEducationalSector
Indicates that an entity conducts its primary activities or provides services within the field of education or the educational industry.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69eefad1fd5c8190a4a46ea6afe58bfa |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:36 a.m.