Triple
T19618219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seal of Delaware |
E470922
|
entity |
| Predicate | depictsOnShield |
P108401
|
FINISHED |
| Object | sheaf of wheat |
—
|
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: sheaf of wheat | Statement: [Seal of Delaware, depictsOnShield, sheaf of wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsOnShield Context triple: [Seal of Delaware, depictsOnShield, sheaf of wheat]
-
A.
shieldDepicts
Indicates that a shield bears or displays a particular image, symbol, or design as its depiction.
-
B.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
-
C.
hasHeraldicShieldShape
Indicates that an entity’s heraldic shield is characterized by a specific geometric or stylistic shape.
-
D.
depictsWeapon
Indicates that one entity visually represents or shows a weapon associated with another entity.
-
E.
featuresOnShield
chosen
Indicates that something is depicted or displayed as a design element on a shield.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e346548190b12e38d716bdfc4f |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.