Triple
T11648430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national emblem of Equatorial Guinea |
E276837
|
entity |
| Predicate | scrollColor |
P100174
|
FINISHED |
| Object | silver |
—
|
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: silver | Statement: [national emblem of Equatorial Guinea, scrollColor, silver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scrollColor Context triple: [national emblem of Equatorial Guinea, scrollColor, silver]
-
A.
textColorOnScroll
Indicates that the color of text changes dynamically in response to the user's scrolling action.
-
B.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
C.
anchorColor
Indicates the color attribute assigned to an anchor or anchoring element in the relationship.
-
D.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
E.
pasteColor
Indicates that one entity applies or transfers a color from a source to a target, effectively pasting that color onto the target.
- F. None of above. chosen
Provenance (4 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cd9bb0819093d107204bed2fe0 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.