Triple
T30204000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee of Liberian women |
E767859
|
entity |
| Predicate | countrySymbolDesigned |
P26611
|
FINISHED |
| Object | flag of Liberia |
—
|
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: flag of Liberia | Statement: [Committee of Liberian women, countrySymbolDesigned, flag of Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySymbolDesigned Context triple: [Committee of Liberian women, countrySymbolDesigned, flag of Liberia]
-
A.
hasNationalSymbol
Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
-
B.
symbolCountry
Indicates that a symbol (such as a flag, emblem, or icon) is associated with or represents a specific country.
-
C.
hasNationalSymbolAssociation
Indicates a relationship where an entity is associated with, represented by, or linked to a particular national symbol.
-
D.
symbolDesigned
chosen
Indicates that one entity created or planned the design of a symbolic representation (such as a logo, icon, or emblem) for another entity.
-
E.
religiousSymbolOnFlag
Indicates that a flag features a symbol associated with a religion as part of its design.
- 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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff5f5ecc808190b2df364da108ff4c |
completed | May 9, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ff5b84131c8190bf81d7fb53e934bc |
completed | May 9, 2026, 4:06 p.m. |
Created at: April 29, 2026, 7:31 p.m.