Triple
T28398229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell Pilgrimage |
E719335
|
entity |
| Predicate | performedInLifetimeOf |
P3869
|
FINISHED |
| Object | Prophet Muhammad |
—
|
NE NERFINISHED |
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: Prophet Muhammad | Statement: [Farewell Pilgrimage, performedInLifetimeOf, Prophet Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedInLifetimeOf Context triple: [Farewell Pilgrimage, performedInLifetimeOf, Prophet Muhammad]
-
A.
performedAtLeastOnceInLifetime
Indicates that the subject has carried out the specified action or activity at least one time during their entire lifetime.
-
B.
livedDuring
chosen
Indicates that the subject existed or was alive at some point within the time period or lifespan associated with the object.
-
C.
hasPartInLife
Indicates that an entity participates in, contributes to, or plays a role within some aspect or period of another entity’s life.
-
D.
livedBefore
Indicates that one entity existed or was alive at an earlier time than another entity.
-
E.
hasRoleInLifeOf
Indicates that one entity plays a particular role or function in the life or personal experience of another entity.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: April 28, 2026, 1:18 a.m.