Triple
T11894756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metroland |
E283006
|
entity |
| Predicate | marketingImage |
P97263
|
FINISHED |
| Object | healthy country living with urban accessibility |
—
|
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: healthy country living with urban accessibility | Statement: [Metroland, marketingImage, healthy country living with urban accessibility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingImage Context triple: [Metroland, marketingImage, healthy country living with urban accessibility]
-
A.
imageOf
chosen
Indicates that one entity is a visual representation or depiction of another entity.
-
B.
brandImage
Indicates the perceived overall impression, reputation, and associations that people hold about a particular brand.
-
C.
publicImage
Indicates how an entity is perceived or represented by the general public or broader audience.
-
D.
mediaWork
Indicates a relationship where one entity is a media-related work (such as a film, book, recording, or other creative media production) associated with another entity.
-
E.
logoImage
Indicates the image that serves as the logo representing an 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1286808190949719f54ff49a01 |
completed | April 10, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.