Triple
T9662603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethel |
E233623
|
entity |
| Predicate | vowAssociatedWith |
P23834
|
FINISHED |
| Object | Jacob’s vow to make Bethel God’s house |
—
|
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: Jacob’s vow to make Bethel God’s house | Statement: [Bethel, vowAssociatedWith, Jacob’s vow to make Bethel God’s house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vowAssociatedWith Context triple: [Bethel, vowAssociatedWith, Jacob’s vow to make Bethel God’s house]
-
A.
vowStatus
Indicates the current state or condition of a commitment or promise made between entities, such as whether it is active, fulfilled, or broken.
-
B.
associatedWithVerb
Indicates that one entity is connected or linked to another through some verb-based relationship or action.
-
C.
hasVow
chosen
Indicates that one entity has made or is bound by a formal vow or promise in relation to another entity or context.
-
D.
associatedVice
Indicates a relationship where one entity is linked to or connected with a particular vice, wrongdoing, or morally negative behavior of another entity.
-
E.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c0b7728819099473f404382b26a |
completed | April 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b3239c8190b3ae3b9bd121e4bd |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:14 p.m.