Triple
T32562612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatishchev |
E832267
|
entity |
| Predicate | hasNotableFieldOfActivityOfMembers |
P203186
|
FINISHED |
| Object | historiography |
—
|
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: historiography | Statement: [Tatishchev, hasNotableFieldOfActivityOfMembers, historiography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFieldOfActivityOfMembers Context triple: [Tatishchev, hasNotableFieldOfActivityOfMembers, historiography]
-
A.
holderFieldOfActivity
Indicates that one entity has a particular field of activity, profession, or domain in which it is active or engaged.
-
B.
hasNotableMember
Indicates that a group, organization, or collection includes at least one member who is distinguished or noteworthy in some significant way.
-
C.
possibleFieldOfActivity
Indicates that something is a potential or suitable area in which an entity can operate, work, or be active.
-
D.
hasNonClericalMembers
Indicates that an organization or group includes members who are not part of the clergy or formal religious leadership.
-
E.
hasHumanActivities
Indicates that certain human actions, behaviors, or practices are present, performed, or associated with a given entity.
- 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_69f34926b9848190ace47d2dd0a0de7c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0136e4af808190b529d324bbf0c5d9 |
completed | May 11, 2026, 1:54 a.m. |
| PD | Predicate disambiguation | batch_6a01369141c4819091cb8064913a44ca |
completed | May 11, 2026, 1:53 a.m. |
| PDg | Predicate description generation | batch_6a0136e3d6ec8190898b5ab5a628a99d |
completed | May 11, 2026, 1:54 a.m. |
Created at: May 1, 2026, 1:03 a.m.