Triple
T35421886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheese Bridge Area |
E1023816
|
entity |
| Predicate | hasBackgroundTheme |
P164442
|
FINISHED |
| Object | bridge |
—
|
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: bridge | Statement: [Cheese Bridge Area, hasBackgroundTheme, bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackgroundTheme Context triple: [Cheese Bridge Area, hasBackgroundTheme, bridge]
-
A.
hasBackground
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
B.
hasBackgroundColor
Indicates that an entity possesses or is associated with a specific background color.
-
C.
hasBackgroundPattern
Indicates that an entity possesses a recurring or structured visual pattern in its background area.
-
D.
hasLanguageTheme
Indicates that something (such as a work, resource, or item) centrally involves, focuses on, or is characterized by a particular language or linguistic aspect as a thematic element.
-
E.
isThemedTo
chosen
Indicates that one entity is designed, styled, or conceptually based around the subject, motif, or theme represented by another 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:03 p.m.