Triple
T37459485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troggzor the Earthinator |
E930881
|
entity |
| Predicate | rarityColor |
P86132
|
FINISHED |
| Object | Orange |
—
|
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: Orange | Statement: [Troggzor the Earthinator, rarityColor, Orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rarityColor Context triple: [Troggzor the Earthinator, rarityColor, Orange]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
hasColorIdentity
chosen
Indicates that an entity possesses or is associated with a specific color-based characteristic or classification.
-
C.
trophyColor
Indicates the color attribute assigned to a trophy in the relationship.
-
D.
lozengeColor
Indicates that one entity has a specific color attribute describing the hue or shade of a lozenge-shaped object in relation to another entity.
-
E.
colorVarietyCount
Indicates the number of distinct colors associated with or present in a given entity or set of entities.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.