Triple
T11669647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberty Legion |
E277343
|
entity |
| Predicate | hasPatrioticMotif |
P100687
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Liberty Legion, hasPatrioticMotif, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatrioticMotif Context triple: [Liberty Legion, hasPatrioticMotif, yes]
-
A.
isPatriotic
Indicates that an entity demonstrates strong loyalty, devotion, or commitment to their country or nation.
-
B.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
-
C.
hasNationalSymbol
Indicates that an entity possesses or is associated with an officially recognized national symbol of a country or nation.
-
D.
recognizesProtectiveEmblem
Indicates that an entity acknowledges and respects a designated protective emblem as carrying special protected status or immunity.
-
E.
hasPartInMotto
Indicates that something is included as a component or element within a motto.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d8938a1f8c81908ffb049fa5fee5a7 |
completed | April 10, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:39 p.m.