Triple
T3653898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Silver Line (historical bus branding) |
E77483
|
entity |
| Predicate | serviceBrandStatus |
P32712
|
FINISHED |
| Object | historical |
—
|
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: historical | Statement: [Metro Silver Line (historical bus branding), serviceBrandStatus, historical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceBrandStatus Context triple: [Metro Silver Line (historical bus branding), serviceBrandStatus, historical]
-
A.
serviceBrand
Indicates that one entity is the brand under which a particular service is offered or marketed by another entity.
-
B.
brandingStatus
chosen
Indicates the current state or condition of an entity’s branding, such as whether its brand identity has been defined, applied, updated, or is pending.
-
C.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
-
D.
franchiseStatus
Indicates the current standing or condition of a franchise relationship between parties, such as whether it is active, inactive, pending, or terminated.
-
E.
serviceLabel
Indicates that a label or descriptive tag is assigned to a service to identify or categorize it.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3b9164c81908938a4338430d193 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.