Triple
T33008826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Purple Line |
E844582
|
entity |
| Predicate | sharedSegment |
P41108
|
FINISHED |
| Object | Union Station – Wilshire/Vermont |
—
|
NE NERFINISHED |
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: Union Station – Wilshire/Vermont | Statement: [Metro Purple Line, sharedSegment, Union Station – Wilshire/Vermont]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharedSegment Context triple: [Metro Purple Line, sharedSegment, Union Station – Wilshire/Vermont]
-
A.
sharesMemoryFor
Indicates that one entity uses or participates in a memory region, resource, or context that is also used by another entity.
-
B.
sharedValue
Indicates that two or more entities possess or are associated with the same specific value or attribute.
-
C.
shareSpace
Indicates that two or more entities occupy or use the same physical or virtual area simultaneously.
-
D.
sharedBetweenState
Indicates that something is jointly possessed, controlled, or utilized by multiple states or state-level entities.
-
E.
sharesSectionsWith
chosen
Indicates that two entities have one or more sections or segments in common.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: May 1, 2026, 1:23 a.m.