Triple
T30797160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Station–Sierra Madre Villa |
E784260
|
entity |
| Predicate | hadColorDesignation |
P68786
|
FINISHED |
| Object | gold (as part of the Gold Line) |
—
|
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: gold (as part of the Gold Line) | Statement: [Union Station–Sierra Madre Villa, hadColorDesignation, gold (as part of the Gold Line)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadColorDesignation Context triple: [Union Station–Sierra Madre Villa, hadColorDesignation, gold (as part of the Gold Line)]
-
A.
colorDesignationInName
chosen
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
B.
hasColoration
Indicates that an entity possesses a particular color or pattern of colors.
-
C.
hasInternalDesignationFor
Indicates that one entity assigns or uses an internal label, code, or designation to refer to another entity.
-
D.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
E.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
- 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_69f224b2e2a48190b19aa43db9da5b67 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69012d19c81909029847777882855 |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:42 p.m.