Triple
T8010050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhammad al-Mahdi |
E186464
|
entity |
| Predicate | hiddenStatus |
P74023
|
FINISHED |
| Object | in occultation |
—
|
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: in occultation | Statement: [Muhammad al-Mahdi, hiddenStatus, in occultation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hiddenStatus Context triple: [Muhammad al-Mahdi, hiddenStatus, in occultation]
-
A.
hiddenAt
Indicates that one entity is concealed or stored at a specific location or within another entity.
-
B.
hiddenIn
Indicates that one entity is concealed within, behind, or inside another entity so that it is not readily visible or apparent.
-
C.
visibilityStatus
chosen
Indicates the current level or state of how observable, accessible, or exposed an entity is within a given context.
-
D.
dataHidden
Indicates that certain data is concealed, inaccessible, or not visible to users or systems under normal conditions.
-
E.
helpedHide
Indicates that one entity assisted another in concealing or keeping something or someone hidden.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d70caf8819090a9f98025470c0d |
completed | March 31, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:19 p.m.