Triple
T26208844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angel Road / Meridian Water area |
E655428
|
entity |
| Predicate | currentBrandingIncludes |
P11989
|
FINISHED |
| Object | Meridian Water |
—
|
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: Meridian Water | Statement: [Angel Road / Meridian Water area, currentBrandingIncludes, Meridian Water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentBrandingIncludes Context triple: [Angel Road / Meridian Water area, currentBrandingIncludes, Meridian Water]
-
A.
hasBranding
chosen
Indicates that one entity carries, displays, or is associated with the brand identity of another entity.
-
B.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
C.
brandingStatus
Indicates the current state or condition of an entity’s branding, such as whether its brand identity has been defined, applied, updated, or is pending.
-
D.
currentProgramBrand
Indicates that an entity is associated with the brand of the program it is currently part of or participating in.
-
E.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 26, 2026, 8:51 p.m.