Triple
T26861889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Suriname |
E676350
|
entity |
| Predicate | dexterField |
P161538
|
FINISHED |
| Object | ship on water |
—
|
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: ship on water | Statement: [coat of arms of Suriname, dexterField, ship on water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dexterField Context triple: [coat of arms of Suriname, dexterField, ship on water]
-
A.
dexterBaseFieldDepicts
Indicates that a base field is used to depict or represent something positioned on the dexter (right-hand) side in a heraldic or symbolic context.
-
B.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
C.
fieldNameDedicated
Indicates that a specific field name is reserved or assigned exclusively for a particular purpose or use within a given context.
-
D.
collectingField
Indicates that one entity serves as the field or location where another entity gathers, accumulates, or collects items, data, or resources.
-
E.
roleInDexter
Indicates that an entity has a specific role or character position within the context of the work "Dexter."
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61e943d40819098891ce10abd4448 |
completed | May 2, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:25 a.m.