Triple
T23569381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عمود السواري |
E580059
|
entity |
| Predicate | governorHonored |
P153203
|
FINISHED |
| Object | الحاكم الروماني بوبليوس |
—
|
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: الحاكم الروماني بوبليوس | Statement: [عمود السواري, governorHonored, الحاكم الروماني بوبليوس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorHonored Context triple: [عمود السواري, governorHonored, الحاكم الروماني بوبليوس]
-
A.
notableGovernor
Indicates that an individual has served as a governor in a way considered historically or socially significant.
-
B.
governorateNamedAfter
Indicates that a governorate derives its name from a particular person, place, or entity.
-
C.
hadGovernor
Indicates that an administrative region or political entity was governed by a specific person who held the office of governor.
-
D.
governorAdvisedBy
Indicates that a governor receives advice, guidance, or counsel from a specified person or entity.
-
E.
governorTitle
Indicates the official title or designation held by a person serving as a governor.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd15ca48190afd119ec1b4a07b2 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:36 p.m.