Triple
T8253842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muni Metro line K |
E193020
|
entity |
| Predicate | isPartiallySubway |
P15152
|
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, isPartiallySubway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallySubway Context triple: [Muni Metro line K, isPartiallySubway, true]
-
A.
hasSubway
Indicates that a place is served by or contains a subway (metro) system.
-
B.
hasSubwayComplex
Indicates that one entity contains or is associated with a subway complex as part of its structure or facilities.
-
C.
hasSubwayLineAboveOrBelow
Indicates that one subway line is physically located above or below another subway line, such as on different levels of a transit system.
-
D.
hasUndergroundSection
chosen
Indicates that an entity includes a portion or segment that is located below ground level.
-
E.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
- 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_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. |
Created at: March 30, 2026, 5:48 p.m.