Triple
T33116418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People of Ridwan |
E847468
|
entity |
| Predicate | numberApproximate |
P132864
|
FINISHED |
| Object | about 1,400 |
—
|
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: about 1,400 | Statement: [People of Ridwan, numberApproximate, about 1,400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberApproximate Context triple: [People of Ridwan, numberApproximate, about 1,400]
-
A.
approximateEstimation
chosen
Indicates an estimation relationship where one value or assessment is only roughly or closely, but not exactly, equal to another.
-
B.
alignedApproximately
Indicates that two or more entities are positioned or oriented in roughly the same direction or arrangement, allowing for minor deviations or imprecision.
-
C.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
D.
representsApproximately
Indicates that one entity serves as an inexact or close-but-not-exact representation or value of another entity.
-
E.
approximationUsed
Indicates that an approximate method, value, or representation was employed instead of an exact one in performing or describing the related action or relationship.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02fcbe03d0819082d3dd715ed41623 |
completed | May 12, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_6a02fc62138081908d2dbc5db7541d13 |
completed | May 12, 2026, 10:09 a.m. |
Created at: May 1, 2026, 1:27 a.m.