Triple
T38297407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagrado |
E1032127
|
entity |
| Predicate | hasWorldWarIHeritage |
P112622
|
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: [Sagrado, hasWorldWarIHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldWarIHeritage Context triple: [Sagrado, hasWorldWarIHeritage, true]
-
A.
hasWorldWarIIAssociation
Indicates that there is a notable connection or relevance between an entity and World War II, such as involvement, impact, or contextual association.
-
B.
worldWarIPartOf
Indicates that an event or entity is a component, phase, or subset of World War I.
-
C.
worldWarIService
Indicates that an entity served or participated in military service during World War I.
-
D.
worldWarIRecognition
chosen
Indicates formal acknowledgment or commemoration of involvement, service, or impact related to World War I.
-
E.
hasPrimaryTheatreOfWar
Indicates that an armed conflict or military operation is chiefly conducted within a particular geographic theatre or region of war.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:30 p.m.