Triple
T1472772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Fatiha |
E27172
|
entity |
| Predicate | keySupplication |
P29086
|
FINISHED |
| Object | Guide us to the straight path |
—
|
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: Guide us to the straight path | Statement: [Surah Al-Fatiha, keySupplication, Guide us to the straight path]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keySupplication Context triple: [Surah Al-Fatiha, keySupplication, Guide us to the straight path]
-
A.
keyProvision
Indicates that one entity serves as a primary or essential provision, resource, or supply for another entity.
-
B.
keyComponent
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
-
C.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
D.
keyParty
Indicates a relationship where an entity is a primary or essential participant in an event, agreement, or situation.
-
E.
keyTarget
Indicates that one entity serves as the primary focus, objective, or intended recipient of another entity’s action, function, or influence.
- F. None of above. chosen
Provenance (4 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5dc90e481908a4935f266bc7850 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.