Triple
T38604478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truss ministry |
E934304
|
entity |
| Predicate | numberOfDaysInOffice |
P206576
|
FINISHED |
| Object | 49 |
—
|
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: 49 | Statement: [Truss ministry, numberOfDaysInOffice, 49]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDaysInOffice Context triple: [Truss ministry, numberOfDaysInOffice, 49]
-
A.
numberOfTimesInOffice
Indicates the count of separate terms or periods an entity has held a particular office or position.
-
B.
remainedInOfficeAs
Indicates that one entity continued to hold the same official position or role as another entity, without interruption, over a given period.
-
C.
timeInOfficeCharacteristic
Indicates a characteristic or attribute specifically related to the duration or period an entity spends in office or in a particular official role.
-
D.
yearsInPower
Indicates the duration, typically in years, that an entity has held a position of authority or control.
-
E.
timeInNationalGovernment
Indicates the duration that an entity has served within a national-level government.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.