Triple
T23510407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Ayers |
E572403
|
entity |
| Predicate | roleAtSouthAustralianMiningAssociation |
P64274
|
FINISHED |
| Object | secretary |
—
|
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: secretary | Statement: [Henry Ayers, roleAtSouthAustralianMiningAssociation, secretary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtSouthAustralianMiningAssociation Context triple: [Henry Ayers, roleAtSouthAustralianMiningAssociation, secretary]
-
A.
workingGroupRole_SA4
chosen
Indicates that an entity holds a specific role or position within working group SA4.
-
B.
miningCompany
Indicates a relationship where an entity operates as a company engaged in the extraction of natural resources from the earth.
-
C.
eraOfMajorMiningActivity
Indicates the time period during which significant or primary mining operations took place for the associated entity.
-
D.
organizationAssociatedWith
Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
-
E.
hasCloseProfessionalAssociationWith
Indicates a strong, ongoing professional relationship or collaboration between two entities, typically involving frequent interaction or shared work responsibilities.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a90455f0819092b37c69d7e73c43 |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:07 p.m.