Triple
T712069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaverton Transit Center |
E14230
|
entity |
| Predicate | modeServed |
P1533
|
FINISHED |
| Object | light rail |
—
|
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: light rail | Statement: [Beaverton Transit Center, modeServed, light rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeServed Context triple: [Beaverton Transit Center, modeServed, light rail]
-
A.
servesMode
chosen
Indicates that one entity provides or operates in a particular manner, method, or mode in relation to another entity or context.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
isServed
Indicates that one entity provides or delivers a service, product, or assistance to another entity.
-
D.
mayServeOn
Indicates that one entity is permitted or eligible to serve on another entity, such as a group, body, or committee.
-
E.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a77fcc6881908a025bb21e44ad56 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f221b081909fbaa689fb20eb3e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.