Triple
T19989549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Hutt |
E494025
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Delaney |
—
|
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: Delaney | Statement: [Lower Hutt, hasSuburb, Delaney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delaney Context triple: [Lower Hutt, hasSuburb, Delaney]
-
A.
Delaney
chosen
Delaney is a surname of Irish origin commonly borne by individuals and families in English-speaking countries.
-
B.
Delaine
Delaine is a given name associated with American musician and songwriter Delaney Bramlett.
-
C.
Delly
Delly is the nickname of Australian professional basketball player Matthew Dellavedova, known for his gritty defense and tenure in the NBA, including a championship run with the Cleveland Cavaliers.
-
D.
Deneen
Deneen is a surname most notably associated with Charles S. Deneen, an American politician who served as governor of Illinois and later as a U.S. senator.
-
E.
Delroy
Delroy is a masculine given name most notably borne by acclaimed British-American actor Delroy Lindo.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdecf108190a5b215fd25bc4dda |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:30 p.m.