Triple
T17993414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green (Chicago 'L' Green Line) |
E430436
|
entity |
| Predicate | colorValue |
P92152
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [Green (Chicago 'L' Green Line), colorValue, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorValue Context triple: [Green (Chicago 'L' Green Line), colorValue, green]
-
A.
colorComponent
Indicates that one entity is a component or constituent part of the overall color of another entity.
-
B.
colorWeight
Indicates a relationship where a specific color is associated with a particular weight, intensity, or importance value.
-
C.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
D.
colorIndicates
Indicates that a particular color serves as a sign, marker, or signal conveying specific information or status about something.
-
E.
colorFieldCharacteristic
chosen
Indicates that a field or attribute is characterized or distinguished by a specific 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b2a0f8588190b6090c7cce60a35f |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.