Triple
T5736181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muni Metro N Judah line |
E126508
|
entity |
| Predicate | originalMode |
P65520
|
FINISHED |
| Object | streetcar 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: streetcar line | Statement: [Muni Metro N Judah line, originalMode, streetcar line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalMode Context triple: [Muni Metro N Judah line, originalMode, streetcar line]
-
A.
previousMode
Indicates that one mode directly precedes another in a sequence or state transition.
-
B.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
C.
originalForm
Indicates that one entity is the earlier, source, or initial version from which another entity is derived or transformed.
-
D.
originalType
Indicates that one entity represents the initial or source type from which another entity is derived, transformed, or reclassified.
-
E.
alternateMode
Indicates that one entity functions as an alternative form, configuration, or mode of operation for another entity.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255ad6f48190977bf4f037110aa3 |
completed | March 22, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69c021c8195481909419808b002628aa |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c022a50c048190aff24c63e7039dd6 |
completed | March 22, 2026, 5:11 p.m. |
Created at: March 22, 2026, 3:47 p.m.