Triple
T10420471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Waqi'ah |
E245633
|
entity |
| Predicate | dividesPeopleInto |
P60729
|
FINISHED |
| Object | the foremost (as-sabiqun) |
—
|
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: the foremost (as-sabiqun) | Statement: [Al-Waqi'ah, dividesPeopleInto, the foremost (as-sabiqun)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividesPeopleInto Context triple: [Al-Waqi'ah, dividesPeopleInto, the foremost (as-sabiqun)]
-
A.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
B.
divisionRaceContext
Indicates a contextual relationship where a division is characterized or defined in terms of a specific race or racial grouping.
-
C.
dividedPopulationOf
chosen
Indicates that a population has been split into distinct subgroups or segments, typically based on specified criteria or characteristics.
-
D.
formsDivisionWith
Indicates that one entity combines with another to create or constitute a division or subgroup within a larger organization or structure.
-
E.
divisionColor
Indicates the color associated with a particular division or subgroup within a larger organization or structure.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2bee2081908e5e65df9100d463 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:11 p.m.