Triple
T2632673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erich Honecker |
E59669
|
entity |
| Predicate | officeEnd (Chairman of State Council) |
P42371
|
FINISHED |
| Object | 1989-10-18 |
—
|
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: 1989-10-18 | Statement: [Erich Honecker, officeEnd (Chairman of State Council), 1989-10-18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEnd (Chairman of State Council) Context triple: [Erich Honecker, officeEnd (Chairman of State Council), 1989-10-18]
-
A.
inOfficeFromAsChairmanOfCouncilOfMinisters
Indicates that an entity held the position of Chairman of the Council of Ministers starting from a specified date or time period.
-
B.
officeEnd (Governor-General of Pakistan)
Indicates the date or point in time when the Governor-General of Pakistan’s term in office ended.
-
C.
coChairpersonOf
Indicates that a person serves jointly with one or more others as the chairperson of a group, organization, or committee.
-
D.
headOfOffice
Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
-
E.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdb0bf9b881908b239c1310c7bbf3 |
completed | March 7, 2026, 8 a.m. |
Created at: March 6, 2026, 9:50 p.m.