Triple
T34111827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitnem |
E874856
|
entity |
| Predicate | hasEveningPrayer |
P120145
|
FINISHED |
| Object | Rehras Sahib |
—
|
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: Rehras Sahib | Statement: [Nitnem, hasEveningPrayer, Rehras Sahib]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEveningPrayer Context triple: [Nitnem, hasEveningPrayer, Rehras Sahib]
-
A.
hasPrayerRite
chosen
Indicates that one entity is associated with, follows, or practices a particular prayer rite or liturgical form.
-
B.
prayedDuring
Indicates that one entity performed prayer at some time within the duration of another specified event or time interval.
-
C.
hasEveningActivity
Indicates that an entity engages in or is associated with a specific activity that takes place in the evening.
-
D.
numberOfBlessingsEvening
Indicates the count of blessings associated with the evening time for an entity.
-
E.
hasProperLiturgyOfTheHours
Indicates that an entity follows or possesses the officially prescribed form of the Liturgy of the Hours.
- 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70cb544848190aaeb8f766a95aaff |
completed | May 3, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:53 a.m.