Triple
T271732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Loop |
E5647
|
entity |
| Predicate | transitNetworkType |
P1379
|
FINISHED |
| Object | urban rail transit |
—
|
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: urban rail transit | Statement: [B Loop, transitNetworkType, urban rail transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitNetworkType Context triple: [B Loop, transitNetworkType, urban rail transit]
-
A.
publicTransit
Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
-
B.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
-
C.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
D.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
E.
hasTransitFocus
Indicates that something is oriented toward, prioritizes, or is primarily concerned with transit or transportation services.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.