Triple
T33718039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethlehem area rural cluster |
E863929
|
entity |
| Predicate | sharesGeographicTiesWith |
P200902
|
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, sharesGeographicTiesWith, Bethlehem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesGeographicTiesWith Context triple: [Bethlehem area rural cluster, sharesGeographicTiesWith, Bethlehem]
-
A.
hasSocialTieWith
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.
sharesRitesWith
Indicates that two entities participate in or observe the same religious, ceremonial, or ritual practices.
-
D.
sharesCountryWith
Indicates that two entities are located in, originate from, or are otherwise associated with the same country.
-
E.
sharesProvinceWith
Indicates that two entities are located within, or associated with, the same administrative province.
- F. None of above. chosen
Provenance (4 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_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
| PDg | Predicate description generation | batch_69ffb82b40788190bf401344a3f288dd |
completed | May 9, 2026, 10:41 p.m. |
Created at: May 1, 2026, 1:44 a.m.