Triple
T25960997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaheed Rafiq |
E645536
|
entity |
| Predicate | hasLegacyOf |
P267
|
FINISHED |
| Object | self-sacrifice |
—
|
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: self-sacrifice | Statement: [Shaheed Rafiq, hasLegacyOf, self-sacrifice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegacyOf Context triple: [Shaheed Rafiq, hasLegacyOf, self-sacrifice]
-
A.
hasLegacy
chosen
Indicates that an entity leaves behind a lasting impact, influence, or inheritance that continues to exist or be recognized over time.
-
B.
hasLegacyAt
Indicates that an entity has left a lasting impact, influence, or heritage associated with a particular place or context.
-
C.
usesLegacyOf
Indicates that one entity makes use of, builds upon, or derives benefit from the historical work, reputation, or established influence of another entity.
-
D.
hasModernLegacyIn
Indicates that something continues to exert influence, relevance, or impact within a modern context, domain, or location.
-
E.
hasCulturalLegacyIn
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 22, 2026, 8:47 a.m.