Triple
T32869368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Holloway |
E840747
|
entity |
| Predicate | nearbyUndergroundLine |
P33788
|
FINISHED |
| Object | Piccadilly line |
—
|
NE NERFINISHED |
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: Piccadilly line | Statement: [Lower Holloway, nearbyUndergroundLine, Piccadilly line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyUndergroundLine Context triple: [Lower Holloway, nearbyUndergroundLine, Piccadilly line]
-
A.
nearUndergroundLine
chosen
Indicates that one entity is located close in distance to an underground (subway/metro) line.
-
B.
nearTramwayLine
Indicates that one entity is located close to a tramway line in physical space.
-
C.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
D.
subwayServiceAtNearbyStation
Indicates that there is subway service available at a station located near the referenced place or entity.
-
E.
nearestCommuterRailLine
Indicates the commuter rail line that is geographically closest to a given location or entity.
- 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_69f349436ee88190b72ee12d0f3f508e |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 1, 2026, 1:17 a.m.