Triple
T16037062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ala 15 |
E388994
|
entity |
| Predicate | identificationSymbolType |
P13707
|
FINISHED |
| Object | tail markings |
—
|
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: tail markings | Statement: [Ala 15, identificationSymbolType, tail markings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identificationSymbolType Context triple: [Ala 15, identificationSymbolType, tail markings]
-
A.
symbolType
chosen
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
-
B.
typicalSymbol
Indicates that something serves as a characteristic or commonly recognized symbol representing something else.
-
C.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
D.
symbolElement
Indicates that one entity is a constituent element or component that makes up the other entity, which is treated as a symbol.
-
E.
symbolizedIn
Indicates that one entity serves as a symbol or representation of 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.