Triple
T4509604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coronation Cup |
E102015
|
entity |
| Predicate | weightType |
P8068
|
FINISHED |
| Object | weight-for-age with allowances |
—
|
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: weight-for-age with allowances | Statement: [Coronation Cup, weightType, weight-for-age with allowances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightType Context triple: [Coronation Cup, weightType, weight-for-age with allowances]
-
A.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
B.
weightStandardInfluencedBy
Indicates that a weight standard is affected, shaped, or determined by another factor, standard, or influence.
-
C.
weightClass
chosen
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
D.
weightRangeDescription
Indicates the textual description that specifies the range within which an entity’s weight falls.
-
E.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.