Triple
T36737609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brentford Road studio |
E907526
|
entity |
| Predicate | laterRenamedStreet |
P168026
|
FINISHED |
| Object | Studio One Boulevard |
—
|
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: Studio One Boulevard | Statement: [Brentford Road studio, laterRenamedStreet, Studio One Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterRenamedStreet Context triple: [Brentford Road studio, laterRenamedStreet, Studio One Boulevard]
-
A.
previousStreetName
chosen
Indicates that one street name was formerly used for a street that now has a different, current name.
-
B.
namedAfterStreet
Indicates that an entity’s name is derived from or taken in honor of a particular street.
-
C.
hasFormerStreetName
Indicates that an entity (such as a street or place) was previously known by a different street name.
-
D.
roadName
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
E.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
- 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00b6199c348190b1e90375f737d026 |
completed | May 10, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_6a00b5169a7881909a07167c4188731f |
completed | May 10, 2026, 4:40 p.m. |
Created at: May 3, 2026, 4:12 p.m.