Triple
T33718037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethlehem area rural cluster |
E863929
|
entity |
| Predicate | sharesSocialTiesWith |
P150269
|
FINISHED |
| Object | Bethlehem |
—
|
NE NERFINISHED |
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: Bethlehem | Statement: [Bethlehem area rural cluster, sharesSocialTiesWith, Bethlehem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesSocialTiesWith Context triple: [Bethlehem area rural cluster, sharesSocialTiesWith, Bethlehem]
-
A.
hasSocialTieWith
chosen
Indicates a social relationship or connection exists between two entities, such as friendship, acquaintance, or other interpersonal tie.
-
B.
sharesNotableAssociationWith
Indicates a mutual, noteworthy connection or linkage between two entities that is significant enough to be recognized or highlighted.
-
C.
socialRelations
Indicates a relationship in which entities are connected through social ties, interactions, or roles within a social context.
-
D.
sharesEnginesWith
Indicates that two entities use the same engine model or engine configuration.
-
E.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: May 1, 2026, 1:44 a.m.