Triple
T12050603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ealing Broadway |
E286903
|
entity |
| Predicate | isInTravelDirection |
P102962
|
FINISHED |
| Object | between central London and Reading on Elizabeth 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: between central London and Reading on Elizabeth line | Statement: [Ealing Broadway, isInTravelDirection, between central London and Reading on Elizabeth line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTravelDirection Context triple: [Ealing Broadway, isInTravelDirection, between central London and Reading on Elizabeth line]
-
A.
isInDirectionOf
Indicates that one entity is oriented or positioned toward the direction in which another entity lies.
-
B.
travelsDirection
Indicates that an entity moves or is transported in a specified directional heading or orientation.
-
C.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
-
D.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
E.
hasRouteDirection
Indicates that a specified route is associated with a particular travel direction (e.g., inbound, outbound, northbound).
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.