Triple
T11060371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Abgar V of Osroene |
E261490
|
entity |
| Predicate | historicAuthenticity |
P97575
|
FINISHED |
| Object | partly legendary |
—
|
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: partly legendary | Statement: [King Abgar V of Osroene, historicAuthenticity, partly legendary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicAuthenticity Context triple: [King Abgar V of Osroene, historicAuthenticity, partly legendary]
-
A.
historicFor
Indicates that something holds historical significance or importance specifically in relation to another entity.
-
B.
historicCore
Indicates that something is part of, located within, or associated with the original historic center or oldest developed area of a place.
-
C.
historicalExistence
Indicates that an entity actually existed at some point in real-world history, as opposed to being fictional, hypothetical, or mythological.
-
D.
historicActivity
Indicates that an entity engaged in an activity or event of historical significance in the past.
-
E.
historicallyRich
Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798e991848190b07c2f48dae38681 |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.