Triple
T28007281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imam al-Zaman |
E707310
|
entity |
| Predicate | timeOfReappearance |
P67516
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [Imam al-Zaman, timeOfReappearance, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfReappearance Context triple: [Imam al-Zaman, timeOfReappearance, unknown]
-
A.
reappearsAt
Indicates that an entity, after having disappeared or been absent, becomes present again at a specific location or point in time.
-
B.
timeOfAppearance
chosen
Indicates the specific time at which an entity or event becomes visible, present, or first occurs.
-
C.
reappearsIn
Indicates that an entity that previously appeared becomes present or visible again in the same or another context.
-
D.
timeOfDisappearance
Indicates the specific time at which an entity disappeared or was last observed to no longer be present.
-
E.
reappearanceEpisode
Indicates the episode in which an entity that has appeared before returns or shows up again.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 8:01 p.m.