Triple
T3771249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lime Garage |
E83201
|
entity |
| Predicate | hasDesignationColor |
P18249
|
FINISHED |
| Object | lime |
—
|
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: lime | Statement: [Lime Garage, hasDesignationColor, lime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDesignationColor Context triple: [Lime Garage, hasDesignationColor, lime]
-
A.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
B.
hasLetterDesignation
Indicates that an entity is assigned or associated with a specific letter-based designation or code.
-
C.
hasColorSymbol
chosen
Indicates that one entity is associated with another entity that serves as its representative or symbolic color.
-
D.
hasDesignationNearby
Indicates that one entity has a designation (such as a label, title, or marker) located in close physical or contextual proximity to another entity.
-
E.
trunkColorDesignation
Indicates the specified color assigned to the trunk of an object (such as a tree or similar structure).
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.