Triple
T38282553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziyarat of Imam Husayn |
E1022115
|
entity |
| Predicate | hasMeritAccordingTo |
P200957
|
FINISHED |
| Object | Shi'a hadith literature |
—
|
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: Shi'a hadith literature | Statement: [Ziyarat of Imam Husayn, hasMeritAccordingTo, Shi'a hadith literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeritAccordingTo Context triple: [Ziyarat of Imam Husayn, hasMeritAccordingTo, Shi'a hadith literature]
-
A.
hasSpecialMerit
Indicates that an entity possesses exceptional or noteworthy qualities that distinguish it from others in a positive way.
-
B.
hasQualifying
Indicates that one entity possesses or meets a specific condition, attribute, or criterion that qualifies it in relation to another entity or context.
-
C.
hasQualificationCriteria
Indicates that there are specific conditions or standards that must be met for something to be considered eligible or acceptable.
-
D.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
E.
hasOrderOfMerit
Indicates that one entity has been awarded or holds a specific order of merit or honor conferred by another entity.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
| PDg | Predicate description generation | batch_69ffbb1b3b888190ba329ad321fc3f3d |
completed | May 9, 2026, 10:54 p.m. |
Created at: May 3, 2026, 4:30 p.m.