Triple
T3117593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cana |
E65098
|
entity |
| Predicate | healingOfRoyalOfficialsSonLocationContext |
P45451
|
FINISHED |
| Object | Jesus in Cana, son in Capernaum |
—
|
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: Jesus in Cana, son in Capernaum | Statement: [Cana, healingOfRoyalOfficialsSonLocationContext, Jesus in Cana, son in Capernaum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: healingOfRoyalOfficialsSonLocationContext Context triple: [Cana, healingOfRoyalOfficialsSonLocationContext, Jesus in Cana, son in Capernaum]
-
A.
SpeechFromTheThroneLocation
Indicates the location where a formal Speech from the Throne is delivered.
-
B.
otherOfficialPalace
Indicates that one entity serves as another entity’s alternative or additional official palace.
-
C.
knightingLocation
Indicates the place where a knighting ceremony or act of conferring knighthood occurs.
-
D.
sacrificeLocation
Indicates the place where a sacrifice is performed or occurs.
-
E.
heirOf
Indicates that one entity is the legal or designated successor who inherits from another entity, typically upon that entity’s death or transfer of rights.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e73cc88190846ef37ccf1a0de7 |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.