Triple
T30403459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jochanaan |
E773412
|
entity |
| Predicate | imprisonedLocation |
P6464
|
FINISHED |
| Object | cistern beneath Herodes’ palace |
—
|
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: cistern beneath Herodes’ palace | Statement: [Jochanaan, imprisonedLocation, cistern beneath Herodes’ palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imprisonedLocation Context triple: [Jochanaan, imprisonedLocation, cistern beneath Herodes’ palace]
-
A.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
B.
prisonLocatedIn
Indicates that a prison is situated within or at a specific geographic or administrative location.
-
C.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
-
D.
placeOfDetention
chosen
Indicates the location or facility where an entity is or was held in detention.
-
E.
residenceDuringImprisonment
Indicates that an entity’s place of residence is specified for the period during which that entity is imprisoned.
- F. None of above.
Provenance (3 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861c95e88190a5f3a4a6c952692a |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:03 p.m.