Triple
T9956607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian the Apostate |
E195460
|
entity |
| Predicate | attemptedProject |
P58482
|
FINISHED |
| Object | rebuilding the Jewish Temple in Jerusalem |
—
|
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: rebuilding the Jewish Temple in Jerusalem | Statement: [Julian the Apostate, attemptedProject, rebuilding the Jewish Temple in Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attemptedProject Context triple: [Julian the Apostate, attemptedProject, rebuilding the Jewish Temple in Jerusalem]
-
A.
intendedProject
Indicates that an entity is the planned or targeted project associated with another entity (such as a person, organization, or activity).
-
B.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
C.
attemptedAction
chosen
Indicates that an entity made an effort to perform a particular action, regardless of whether the action was successfully completed.
-
D.
project
Indicates that an entity plans, organizes, or carries out a structured effort or initiative aimed at achieving a specific goal or outcome.
-
E.
wasTriedAt
Indicates that a legal case or judicial proceeding involving an entity took place at a specific court or location.
- 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb6976b50819097a0ae347354e92c |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9ae19c819099fb3635e57c79be |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:46 p.m.