Triple
T35781508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land of Promise |
E1034449
|
entity |
| Predicate | firstPromiseChapter |
P206046
|
FINISHED |
| Object | Genesis 12 |
E466947
|
NE 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: Genesis 12 | Statement: [Land of Promise, firstPromiseChapter, Genesis 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPromiseChapter Context triple: [Land of Promise, firstPromiseChapter, Genesis 12]
-
A.
firstAppearanceChapter
Indicates the chapter in which an entity (such as a character, item, or concept) is first introduced or appears in a work.
-
B.
firstPartSeries
Indicates that one entity is the initial installment or beginning segment in a series of related entities.
-
C.
firstBookBy
Indicates that one entity is the first book authored by another entity.
-
D.
firstWorkInSeries
Indicates that a work is the initial installment or opening entry in a series or sequence of related works.
-
E.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
- F. None of above. chosen
Provenance (5 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3886094ff8819097572dbff3cc1b01 |
completed | June 22, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.