Triple
T14826237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Hospital |
E348579
|
entity |
| Predicate | servesCommunity |
P82
|
FINISHED |
| Object | Young |
E69892
|
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: Young | Statement: [Young Hospital, servesCommunity, Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Context triple: [Young Hospital, servesCommunity, Young]
-
A.
Young
chosen
Young is a regional town in New South Wales, Australia, historically known for its gold rush heritage and cherry production.
-
B.
Young
"Young" is a pop-EDM single by The Chainsmokers, featured on their debut studio album "Memories...Do Not Open."
-
C.
Young
Young is a common English surname borne by numerous notable individuals across diverse fields such as politics, civil rights, science, and the arts.
-
D.
Young
"Young" is the dance-pop debut solo single by British singer Tulisa Contostavlos, released in 2012 and known for its catchy chorus and chart-topping success in the UK.
-
E.
Young
Young is an independent record label known for working with innovative and genre-blending artists such as FKA twigs.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0713700819097bbb0352650984b |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b495800819091c7e1636514222a |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:51 a.m.