Triple
T28097149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Peter’s Church, Marlborough |
E710124
|
entity |
| Predicate | positionOnStreet |
P17242
|
FINISHED |
| Object | western end of Marlborough High Street |
—
|
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: western end of Marlborough High Street | Statement: [St Peter’s Church, Marlborough, positionOnStreet, western end of Marlborough High Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnStreet Context triple: [St Peter’s Church, Marlborough, positionOnStreet, western end of Marlborough High Street]
-
A.
positionOnHighway
Indicates that one entity’s location is specified relative to a particular highway, such as being on, along, or at a point on that highway.
-
B.
streetLocation
chosen
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
C.
locatedBetweenStreets
Indicates that something is situated between two specified streets, with its position bounded or defined by those streets.
-
D.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
E.
hasStreetDirection
Indicates that a street or road segment is associated with a specific directional orientation (e.g., northbound, east-west).
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 27, 2026, 9:02 p.m.