Triple
T29047432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Dekhenge |
E735171
|
entity |
| Predicate | religiousImageryFrom |
P2154
|
FINISHED |
| Object | Islamic eschatology |
—
|
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: Islamic eschatology | Statement: [Hum Dekhenge, religiousImageryFrom, Islamic eschatology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousImageryFrom Context triple: [Hum Dekhenge, religiousImageryFrom, Islamic eschatology]
-
A.
mainReligionDepicted
Indicates that the primary religion represented or portrayed in a work, object, or context is the one specified.
-
B.
religiousElement
chosen
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
C.
depictsReligiousDenomination
Indicates that one entity visually represents or portrays the religious denomination associated with another entity.
-
D.
religiousObjectAssociated
Indicates that a religious object is associated with, connected to, or used in relation to another entity (such as a person, place, event, or practice).
-
E.
religiousTextAssociation
Indicates an association where one entity is a religious text that is used by, foundational to, or authoritative for another entity (such as a person, group, or religion).
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: April 28, 2026, 10:06 a.m.