Triple
T12638592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwood |
E301829
|
entity |
| Predicate | hasPeakServiceType |
P106139
|
FINISHED |
| Object | fast and semi-fast Metropolitan line services passing through |
—
|
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: fast and semi-fast Metropolitan line services passing through | Statement: [Northwood, hasPeakServiceType, fast and semi-fast Metropolitan line services passing through]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeakServiceType Context triple: [Northwood, hasPeakServiceType, fast and semi-fast Metropolitan line services passing through]
-
A.
hasServiceType
Indicates that an entity is associated with or categorized by a particular type of service.
-
B.
hasPeakDirectionService
Indicates that a transportation service operates primarily or exclusively in a specified direction during peak travel periods.
-
C.
hasPeak
Indicates that something possesses or contains a highest point, summit, or maximum value.
-
D.
hasPeakAssociated
Indicates that one entity is linked or related to a specific peak (such as a summit or maximum point) associated with it.
-
E.
hasPeakHourService
Indicates that a service operates or is available during designated peak or high-demand hours.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:16 p.m.