Triple
T22585758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem North |
E564787
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Salem |
—
|
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: Salem | Statement: [Salem North, locatedIn, Salem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salem Context triple: [Salem North, locatedIn, Salem]
-
A.
Salem
Salem is a character voiced by Jen Taylor, best known as the primary antagonist in the animated web series RWBY.
-
B.
Salem
Salem is a municipality in the Bodenseekreis district of the German state of Baden-Württemberg, known for its historic Salem Abbey and proximity to Lake Constance.
-
C.
Salem
chosen
Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
-
D.
Salem
Salem is an ancient biblical city traditionally associated with Jerusalem and referenced in the Hebrew Scriptures as a place of divine presence and peace.
-
E.
Salem
Salem is a small city in Utah County, Utah, known for its scenic pond, suburban character, and location within the Provo–Orem metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1615c18f88190ad4f23639d15f337 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:45 p.m.