Triple
T30818946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiswah of the Kaaba |
E784862
|
entity |
| Predicate | replacedOnOccasion |
P93877
|
FINISHED |
| Object | Hajj |
—
|
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: Hajj | Statement: [Kiswah of the Kaaba, replacedOnOccasion, Hajj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedOnOccasion Context triple: [Kiswah of the Kaaba, replacedOnOccasion, Hajj]
-
A.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
B.
onOccasionOf
chosen
Indicates that one event, action, or state occurs in connection with, or is triggered by, a particular occasion or special event.
-
C.
replacedAtPar
Indicates that one entity has been replaced by another at a specific location or position within a larger structure or sequence.
-
D.
oftenReplacedBy
Indicates that one entity is frequently substituted or superseded by another in similar contexts or uses.
-
E.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 29, 2026, 8:44 p.m.