Triple
T15649077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salhouse Broad |
E376257
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Salhouse |
E636403
|
NE 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: Salhouse | Statement: [Salhouse Broad, locatedNear, Salhouse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salhouse Context triple: [Salhouse Broad, locatedNear, Salhouse]
-
A.
Salhouse
chosen
Salhouse is a village and railway station in Norfolk, England, situated on the Bittern Line between Norwich and Sheringham.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
D.
Murs
Murs is an American underground hip hop rapper known for his storytelling lyricism, independent ethos, and collaborations with artists like 9th Wonder and groups such as Living Legends.
-
E.
Sahl
Sahl was a prominent early Muslim mystic and ascetic, best known as Sahl al-Tustari, whose teachings significantly influenced Sufi thought.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67957ebc8190b187f557bd01d58d |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.