Triple
T25485890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith (surname) |
E638704
|
entity |
| Predicate | isFrequentAmong |
P159132
|
FINISHED |
| Object | English speakers |
—
|
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: English speakers | Statement: [Smith (surname), isFrequentAmong, English speakers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFrequentAmong Context triple: [Smith (surname), isFrequentAmong, English speakers]
-
A.
isFrequently
Indicates that an action, state, or relationship occurs often or with high regularity between the related entities.
-
B.
isFrequentlyIncludedIn
Indicates that something is regularly or commonly contained or made part of something else.
-
C.
isMoreFrequentlyUsedThan
Indicates that one entity is used or occurs with greater frequency than another entity.
-
D.
isFrequentlyPerformedBy
Indicates that an action or activity is carried out often or on a regular basis by a particular entity.
-
E.
isFrequentlyRecorded
Indicates that an entity is captured or documented many times within a given dataset, medium, or context.
- F. None of above. chosen
Provenance (4 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f77c4cfc819097efb731d25b3452 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 2:32 p.m.