Triple
T28398230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell Pilgrimage |
E719335
|
entity |
| Predicate | chronologicalOrderInMuhammadsLife |
P155791
|
FINISHED |
| Object | final Hajj |
—
|
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: final Hajj | Statement: [Farewell Pilgrimage, chronologicalOrderInMuhammadsLife, final Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInMuhammadsLife Context triple: [Farewell Pilgrimage, chronologicalOrderInMuhammadsLife, final Hajj]
-
A.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
-
B.
lifeStatusDuringProphethood
Indicates whether an individual was alive or deceased during the period of a specified prophet’s mission.
-
C.
chronologicalOrderInALHistory
chosen
Indicates that one event or action in an AL (Action/Activity/Agent-Log) history occurs earlier or later than another, specifying their relative chronological sequence.
-
D.
caliphOrder
Indicates that one entity holds the position of caliph immediately before or after another entity in a historical or religious succession order.
-
E.
chronologicallyInvolvedIn
Indicates that an entity participates in or is associated with an event, process, or activity during a specific time period in a chronological sequence.
- 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_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
Created at: April 28, 2026, 1:18 a.m.