Triple
T26094352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallangatta |
E658218
|
entity |
| Predicate | hasSecondaryCollege |
P146206
|
FINISHED |
| Object | Tallangatta Secondary College |
—
|
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: Tallangatta Secondary College | Statement: [Tallangatta, hasSecondaryCollege, Tallangatta Secondary College]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryCollege Context triple: [Tallangatta, hasSecondaryCollege, Tallangatta Secondary College]
-
A.
hasCollegeType
Indicates that a college or educational institution is classified as having a specific type or category (e.g., public, private, community, technical).
-
B.
hasSecondarySchoolLevel
Indicates that an entity possesses or is associated with a level of education corresponding to secondary school.
-
C.
hasAdjacentCollege
Indicates that one entity has a college located directly next to or bordering it.
-
D.
hasFurtherEducationInstitution
chosen
Indicates that an entity is associated with, or has access to, a further education institution (such as a college or post-secondary training provider).
-
E.
hasJuniorCollege
Indicates that an entity operates, is associated with, or includes a junior college as part of its structure or offerings.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 26, 2026, 7:50 p.m.