Triple
T31485544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakil al-Raaya |
E803265
|
entity |
| Predicate | titleHoldersPreferredImage |
P196873
|
FINISHED |
| Object | servant of the people |
—
|
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: servant of the people | Statement: [Vakil al-Raaya, titleHoldersPreferredImage, servant of the people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHoldersPreferredImage Context triple: [Vakil al-Raaya, titleHoldersPreferredImage, servant of the people]
-
A.
titleHolderSide
Indicates which side, party, or competitor currently holds a particular title in a contest, match, or competition.
-
B.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
C.
titleHolderLabel
Indicates the entity that currently or formerly holds a specified title, position, or honor.
-
D.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
-
E.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe6c811bcc81908b1e1b1f8bcb071b |
completed | May 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69fe6c026d5481908b7a814dcf38c183 |
completed | May 8, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fe6c7fc4388190aa88993d00872d7f |
completed | May 8, 2026, 11:06 p.m. |
Created at: April 30, 2026, 9:34 p.m.