Triple
T10723764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul and Barnabas’s first missionary journey |
E252885
|
entity |
| Predicate | JohnMarkDepartureDirection |
P73274
|
FINISHED |
| Object | returned to 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: returned to Jerusalem | Statement: [Paul and Barnabas’s first missionary journey, JohnMarkDepartureDirection, returned to Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JohnMarkDepartureDirection Context triple: [Paul and Barnabas’s first missionary journey, JohnMarkDepartureDirection, returned to Jerusalem]
-
A.
departsFrom
Indicates that an entity (such as a vehicle, person, or process) begins its movement, journey, or operation starting from a specified location or point of origin.
-
B.
travelsDirection
chosen
Indicates that an entity moves or is transported in a specified directional heading or orientation.
-
C.
evacuationDirection
Indicates the direction or path along which people or entities are being evacuated from a location.
-
D.
terminusDirection
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
-
E.
journeyFrom
Indicates that an entity undertakes or originates a journey starting from a specified location or source.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d46234081908e147638d0cb7e22 |
completed | April 9, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f30455888190b77f476b8418eaee |
completed | April 9, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:14 p.m.