Triple
T31485545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakil al-Raaya |
E803265
|
entity |
| Predicate | titleHoldersAvoidedTitle |
P196907
|
FINISHED |
| Object | shah |
—
|
NE NERFINISHED |
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: shah | Statement: [Vakil al-Raaya, titleHoldersAvoidedTitle, shah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHoldersAvoidedTitle Context triple: [Vakil al-Raaya, titleHoldersAvoidedTitle, shah]
-
A.
titleHoldersWere
Indicates that certain entities previously held a specified title or position during a past period.
-
B.
titleHolderCouldBe
Indicates that a particular entity is a possible or potential holder of a specified title or position.
-
C.
titleHolders
Indicates that one or more entities currently or formerly hold a specified title, position, or honor.
-
D.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
E.
titleHolderWas
Indicates that an entity previously held a specific title or position before it passed to someone or something else.
- 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_69fe6e492bf8819080b25221d13445ea |
completed | May 8, 2026, 11:14 p.m. |
| PD | Predicate disambiguation | batch_69fe6dd33a6881908fe9bbbc184cab51 |
completed | May 8, 2026, 11:12 p.m. |
| PDg | Predicate description generation | batch_69fe6e4801108190a6be6bec2d52a1b9 |
completed | May 8, 2026, 11:14 p.m. |
Created at: April 30, 2026, 9:34 p.m.