Triple
T19077770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genesis 12 |
E466947
|
entity |
| Predicate | recordsAction |
P104928
|
FINISHED |
| Object | Abram leaves Haran at age seventy-five |
—
|
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: Abram leaves Haran at age seventy-five | Statement: [Genesis 12, recordsAction, Abram leaves Haran at age seventy-five]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordsAction Context triple: [Genesis 12, recordsAction, Abram leaves Haran at age seventy-five]
-
A.
recordKeeper
Indicates a relationship where one entity is responsible for maintaining, managing, or preserving official records or documented information about another entity or activity.
-
B.
recordEvent
chosen
Indicates that an entity logs or stores information about a specific occurrence or action as an event.
-
C.
recordsType
Indicates that one entity documents, stores, or keeps an official account of a particular type or category of information, event, or item.
-
D.
recordsMovementOf
Indicates that something captures or logs the movement or change in position of an entity over time.
-
E.
recordDetail
Indicates that one entity stores or documents specific information or attributes about another entity.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e5591081908a4f8e4b2011b408 |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.