Triple
T19808571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight of the Order of Prince Henry |
E475880
|
entity |
| Predicate | isCivilAndMilitary |
P71540
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Knight of the Order of Prince Henry, isCivilAndMilitary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCivilAndMilitary Context triple: [Knight of the Order of Prince Henry, isCivilAndMilitary, true]
-
A.
isCivilMilitary
chosen
Indicates that an entity or relationship involves both civilian and military components or functions.
-
B.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
-
C.
isCivil
Indicates that one party behaves in a polite, respectful, and non-hostile manner toward another.
-
D.
isCivilian
Indicates that an entity is a non-military, non-combatant individual in the context of a given situation or system.
-
E.
isCivilFlag
Indicates that the flag is used for civil purposes, typically by private citizens or non-military, non-governmental entities.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65429fec8819091e20908101b50eb |
completed | April 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69e5305858108190bbbfdb9ba3ab9f80 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.