Triple
T19167497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seonjeongjeon Hall |
E469223
|
entity |
| Predicate | functionRelativeToPalace |
P134693
|
FINISHED |
| Object | served as king’s main audience chamber |
—
|
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: served as king’s main audience chamber | Statement: [Seonjeongjeon Hall, functionRelativeToPalace, served as king’s main audience chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: functionRelativeToPalace Context triple: [Seonjeongjeon Hall, functionRelativeToPalace, served as king’s main audience chamber]
-
A.
positionRelativeToBuilding
Indicates the spatial relationship of an entity’s location with respect to a specific building (e.g., in front of, behind, adjacent to, on top of).
-
B.
positionRelativeToCaliph
Indicates the spatial or hierarchical position an entity holds in relation to the caliph.
-
C.
locatedInPalaceSection
Indicates that one entity is situated within a specific section or area of a palace.
-
D.
positionWithinCastle
Indicates that one entity is located inside the spatial boundaries of a castle.
-
E.
positionRelativeToTower
Indicates the spatial relationship or placement of an entity with respect to a specified tower.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f16035b481908667a4415a1a63c9 |
completed | April 20, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:06 p.m.