Triple
T7626414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawthorn Football Club |
E172644
|
entity |
| Predicate | primaryStrip |
P51375
|
FINISHED |
| Object | brown and gold vertical stripes |
—
|
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: brown and gold vertical stripes | Statement: [Hawthorn Football Club, primaryStrip, brown and gold vertical stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStrip Context triple: [Hawthorn Football Club, primaryStrip, brown and gold vertical stripes]
-
A.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
-
B.
primaryStyle
chosen
Indicates the main or predominant style associated with an entity, distinguishing it from other secondary or supporting styles.
-
C.
primarySeries
Indicates that one entity is the main or principal sequence, set, or collection to which another entity is related or belongs.
-
D.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
primaryVariant
Indicates that one entity is the main or canonical version among multiple related variants of another entity.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:56 p.m.