Triple
T13649892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hesby Church |
E326701
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hesby |
E326701
|
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: Hesby | Statement: [Hesby Church, locatedIn, Hesby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hesby Context triple: [Hesby Church, locatedIn, Hesby]
-
A.
Hesby
chosen
Hesby is a small Norwegian island village in Rogaland county known for its historic church and traditional coastal landscape.
-
B.
Hessin
Hessin is the middle name of John Hessin Clarke, an American lawyer and jurist who served as an Associate Justice of the U.S. Supreme Court in the early 20th century.
-
C.
Hespere
Hespere is one of the Hesperides, the nymphs of Greek mythology who tended the blissful garden in the far west that contained the golden apples.
-
D.
Hibel
Hibel is the surname of Edna Hibel, an American artist renowned for her impressionistic portraits and mother-and-child themes.
-
E.
Hassie
Hassie is a given name, often used as a feminine first name in English-speaking countries.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc608466c81908f6d2c9c92cc86aa |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78afbf8948190ad38ea7529e52f16 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.