Triple
T17039018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress for the Republic |
E413394
|
entity |
| Predicate | elevatedToOffice |
P119987
|
FINISHED |
| Object | Moncef Marzouki as President of Tunisia |
—
|
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: Moncef Marzouki as President of Tunisia | Statement: [Congress for the Republic, elevatedToOffice, Moncef Marzouki as President of Tunisia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevatedToOffice Context triple: [Congress for the Republic, elevatedToOffice, Moncef Marzouki as President of Tunisia]
-
A.
appointedRelativeToOffice
chosen
Indicates that an entity is appointed to a position or role in relation to a specific office or official post.
-
B.
laterOffice
Indicates that one office or term of office occurs chronologically after another office or term.
-
C.
builtUnderOfficeOf
Indicates that something was constructed under the authority, supervision, or jurisdiction of a particular office or official body.
-
D.
officeHoldsSuccession
Indicates that one office or position is designated to succeed or follow another in an official line of succession.
-
E.
controlledOffice
Indicates that one entity has authority over, manages, or directs the operations of a particular office or administrative location.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f45f84819092cfb27cc33da026 |
completed | April 18, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.