Triple
T10929953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Green Line |
E258174
|
entity |
| Predicate | hasGreenStripe |
P75956
|
FINISHED |
| Object | vertical band running down the center of the face |
—
|
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: vertical band running down the center of the face | Statement: [The Green Line, hasGreenStripe, vertical band running down the center of the face]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenStripe Context triple: [The Green Line, hasGreenStripe, vertical band running down the center of the face]
-
A.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
B.
greenStripePosition
Indicates the relative location or alignment of a green stripe with respect to another part or reference on an object.
-
C.
yellowStripeRepresents
Indicates that a yellow stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
D.
numberOfGoldStripes
Indicates the specific count of gold-colored stripes associated with an entity.
-
E.
hasStripeColor
chosen
Indicates that an entity possesses stripes of a specified color.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709f92088190a15ae3638d3b14fb |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d72e799f808190b6ab64fc7586a303 |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:22 p.m.