Triple
T23240780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gospel of John 19:19–20 |
E581434
|
entity |
| Predicate | statesReason |
P34
|
FINISHED |
| Object | place where Jesus was crucified was near the city |
—
|
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: place where Jesus was crucified was near the city | Statement: [Gospel of John 19:19–20, statesReason, place where Jesus was crucified was near the city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statesReason Context triple: [Gospel of John 19:19–20, statesReason, place where Jesus was crucified was near the city]
-
A.
states
chosen
Indicates that an entity formally declares, expresses, or asserts a fact, opinion, or condition about another entity or situation.
-
B.
statusInUnitedStates
Indicates the legal or official standing that an entity holds within the jurisdiction of the United States.
-
C.
primaryStates
Indicates that certain states or conditions are the main or most fundamental ones within a given context or system.
-
D.
respondentState
Indicates the state or jurisdiction in which the respondent is located, resides, or is legally associated.
-
E.
statehoodStatus
Indicates the legal or political condition of an entity regarding whether, how, or to what extent it is recognized or functions as a state.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192edd974819093a57456e7b12a03 |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:10 p.m.