Triple
T28359608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem (biblical city) |
E718326
|
entity |
| Predicate | uncertaintyOf |
P9778
|
FINISHED |
| Object | exact historical location |
—
|
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: exact historical location | Statement: [Salem (biblical city), uncertaintyOf, exact historical location]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncertaintyOf Context triple: [Salem (biblical city), uncertaintyOf, exact historical location]
-
A.
uncertainty
Indicates that there is doubt, lack of sureness, or incomplete confidence about a fact, outcome, or state of affairs in the relationship or situation described.
-
B.
hasUncertainty
chosen
Indicates that the relationship or value is associated with some level or type of uncertainty rather than being fully definite or precise.
-
C.
locatesUncertaintyIn
Indicates that one entity identifies or specifies the particular place, context, or aspect in which uncertainty is situated or attributed.
-
D.
hasUncertaintyReason
Indicates that there is a specific reason or explanation for why something is uncertain or not known with confidence.
-
E.
hasUncertainNature
Indicates that the nature, status, or characteristics of the relationship or situation are not clearly defined, known, or determined.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64c3048248190b55266211394ecb7 |
completed | May 2, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f641e2f1708190b45b48d6a43c51d2 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:51 a.m.