Triple
T5494729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Three Lions |
E144183
|
entity |
| Predicate | crestNumberOfLions |
P60510
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [The Three Lions, crestNumberOfLions, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crestNumberOfLions Context triple: [The Three Lions, crestNumberOfLions, 3]
-
A.
lionPosition
Indicates the spatial location or placement of a lion relative to a reference frame or environment.
-
B.
lionOrigin
Indicates that one entity is the geographical or contextual origin of a lion or group of lions.
-
C.
lionAttribute
chosen
Indicates that one entity has an attribute, property, or characteristic related to a lion in relation to another entity.
-
D.
lionArmedAndLangued
Indicates that a lion is depicted with its claws and tongue emphasized, typically by being shown and colored distinctly.
-
E.
numberOfSeals
Indicates the quantitative count of seals associated with a given entity or context.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f08c2a4819093e772a1497c7ecc |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:31 p.m.