Triple
T19614659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoese cross |
E470826
|
entity |
| Predicate | hasBackgroundPattern |
P136478
|
FINISHED |
| Object | argent field |
—
|
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: argent field | Statement: [Genoese cross, hasBackgroundPattern, argent field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBackgroundPattern Context triple: [Genoese cross, hasBackgroundPattern, argent field]
-
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.
hasStageBackground
Indicates that one entity serves as the stage background for another entity in a performance or scene.
-
D.
hasStripePattern
Indicates that one entity exhibits a stripe-like visual pattern on its surface or body.
-
E.
hasPavementPattern
Indicates that an entity possesses or is characterized by a specific pattern or design in its pavement surface.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.