Triple
T24623171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greatest Imam |
E609467
|
entity |
| Predicate | regionOfFigure |
P100363
|
FINISHED |
| Object | Iraq |
—
|
NE NERFINISHED |
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: Iraq | Statement: [The Greatest Imam, regionOfFigure, Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFigure Context triple: [The Greatest Imam, regionOfFigure, Iraq]
-
A.
regionOfLegend
Indicates the geographic area or locale with which a particular legend or myth is associated.
-
B.
coRulerRegion
Indicates a relationship where multiple rulers share governing authority over the same region.
-
C.
formationRegion
Indicates the place or area where something originates, is created, or comes into being.
-
D.
regionFrom
chosen
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
E.
regionOfInterest
Indicates a specifically defined spatial or conceptual area that is selected for focused attention, analysis, or processing within a broader context.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.