Triple
T35242366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoi Matsuri procession |
E1017560
|
entity |
| Predicate | roleOfSaioDai |
P187419
|
FINISHED |
| Object | symbolic imperial priestess |
—
|
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: symbolic imperial priestess | Statement: [Aoi Matsuri procession, roleOfSaioDai, symbolic imperial priestess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfSaioDai Context triple: [Aoi Matsuri procession, roleOfSaioDai, symbolic imperial priestess]
-
A.
hasDaishido
Indicates that an entity possesses, includes, or is associated with a Daishidō (a specific hall, building, or designated area).
-
B.
roleOfSalvaKiir
Indicates that an entity holds or is associated with the role or position of Salva Kiir.
-
C.
roleOfSaab
Indicates that an entity holds or represents the specific role or function associated with Saab in a given context.
-
D.
SakaeIs
Indicates that one entity is identified as or classified as "Sakae" in relation to another entity or context.
-
E.
roleAtSavoIsland
Indicates the specific role, position, or function an entity held in relation to the event or context associated with Savo Island.
- 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_69f76de235048190b990070c23c51b6b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb563a28d88190b28345c465c545f8 |
completed | May 6, 2026, 2:54 p.m. |
Created at: May 3, 2026, 4:02 p.m.