Triple
T13605855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish Brigade (Union) |
E325058
|
entity |
| Predicate | carriedSymbol |
P110384
|
FINISHED |
| Object | green flags with Irish symbols |
—
|
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: green flags with Irish symbols | Statement: [Irish Brigade (Union), carriedSymbol, green flags with Irish symbols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carriedSymbol Context triple: [Irish Brigade (Union), carriedSymbol, green flags with Irish symbols]
-
A.
carriedBy
Indicates that one entity is physically supported and transported by another entity.
-
B.
carriedTo
Indicates that one entity transported or conveyed another entity from one place to another.
-
C.
coverSymbol
Indicates that one symbol or notation is used as a cover or representative marker for another entity in a given context.
-
D.
symbolizedIn
Indicates that one entity serves as a symbol or representation of another entity.
-
E.
carriedFrom
Indicates that something was transported or moved away starting from a specified source location or origin.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.