Triple
T14432709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cross Park |
E357873
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Gladstone |
E1090812
|
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: Gladstone | Statement: [Cross Park, city, Gladstone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gladstone Context triple: [Cross Park, city, Gladstone]
-
A.
Gladstone
Gladstone is a coastal city and industrial port in central Queensland, Australia, known for its major shipping facilities and heavy industry.
-
B.
Gladstone
Gladstone is a notable British surname most famously associated with William Ewart Gladstone, the 19th-century Prime Minister of the United Kingdom.
-
C.
Gladstone
chosen
Gladstone is a small city in northwestern Oregon, United States, located at the confluence of the Clackamas and Willamette rivers and part of the Portland metropolitan area.
-
D.
Gladstone
Gladstone is a small riverside village in New South Wales, Australia, known for its heritage buildings, arts community, and scenic setting along the Macleay River.
-
E.
Emile Gladstone
Emile Gladstone is a film and television producer known for his work on genre projects, including serving as an executive producer on the horror series "The Fall of the House of Usher."
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd3e6c48190b4fc3794202a0c3f |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.