Triple
T14717004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Launceston City Park conservatory |
E345706
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | City Park |
E354761
|
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: City Park | Statement: [Launceston City Park conservatory, locatedIn, City Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City Park Context triple: [Launceston City Park conservatory, locatedIn, City Park]
-
A.
City Park
City Park is a public recreational park in Burlington, North Carolina, known for its family-friendly amenities and outdoor activities.
-
B.
City Park
City Park was the original name of Balboa Park, a large historic urban cultural park in San Diego, California.
-
C.
City Park
chosen
City Park is a historic public park in Launceston, Tasmania, known for its landscaped gardens, conservatory, and family-friendly recreational spaces.
-
D.
City Park
City Park is a public recreational park in Philomath, Oregon, offering green space and outdoor amenities for local residents and visitors.
-
E.
City Park
City Park is a public recreational park located in the city of Benicia, California.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb98688f48190b2b19ce7aa06a6db |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64ee4284819093db172023e9fe87 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:29 a.m.