Triple
T8253843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muni Metro line K |
E193020
|
entity |
| Predicate | isPartiallyStreetRunning |
P81212
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Muni Metro line K, isPartiallyStreetRunning, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallyStreetRunning Context triple: [Muni Metro line K, isPartiallyStreetRunning, true]
-
A.
hasStreetRunningTracks
Indicates that a location or area includes street-level tracks used for running or jogging.
-
B.
hasParallelStreet
Indicates that one street runs parallel to another street, maintaining a constant distance without intersecting.
-
C.
runsTheLengthOf
Indicates that one entity extends continuously alongside or across the full distance of another entity.
-
D.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
E.
isSuburbanRidingOf
Indicates that one area or jurisdiction is a suburban electoral riding (district) associated with a larger urban center or region.
- F. None of above. chosen
Provenance (4 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f8eccc8190b43204bf2f8defc1 |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb44d1caa881909069fa925a91316b |
completed | March 31, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.