Triple
T6329339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Griffith |
E141938
|
entity |
| Predicate | hasSuburb |
P747
|
FINISHED |
| Object | Hanwood |
E70596
|
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: Hanwood | Statement: [City of Griffith, hasSuburb, Hanwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanwood Context triple: [City of Griffith, hasSuburb, Hanwood]
-
A.
Hanwood
chosen
Hanwood is a small town in the Riverina region of New South Wales, Australia, known for its irrigated agriculture and wine production.
-
B.
Woodley
Woodley is a suburban area in the Metropolitan Borough of Stockport, Greater Manchester, England.
-
C.
Parkwood
Parkwood is a residential neighborhood in the Far Northeast section of Philadelphia, Pennsylvania, known for its suburban-style housing and proximity to major roadways.
-
D.
Oakwood
Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
-
E.
Oakwood
Oakwood is a historically Black Seventh-day Adventist university in Huntsville, Alabama, known for its strong liberal arts and religious studies programs.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651197908190a30e504e2442d40f |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.