Triple
T13907403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower Ruin |
E334390
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Catherine Park |
E66674
|
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: Catherine Park | Statement: [Tower Ruin, locatedNear, Catherine Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catherine Park Context triple: [Tower Ruin, locatedNear, Catherine Park]
-
A.
Catherine Park
chosen
Catherine Park is a historic landscaped park in Tsarskoye Selo, Russia, renowned for its ornamental gardens, pavilions, and integration with the nearby Catherine Palace.
-
B.
Rose Larisa Park
Rose Larisa Park is a public recreational park in Riverside known for its scenic green spaces and community amenities.
-
C.
Lucy Park
Lucy Park is a large riverside public park in Wichita Falls, Texas, known for its trails, playgrounds, and recreational facilities.
-
D.
Ariana Park
Ariana Park is a large lakeside park in Geneva, Switzerland, best known as the landscaped grounds surrounding the United Nations' Palais des Nations.
-
E.
Hanna Park
Hanna Park is a public recreational park located in Shelby, North Carolina.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25dc26cc8190a7909980b1d34933 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd27f8f388819096c7c33b90f9ac4c |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 9, 2026, 10:16 p.m.