Triple
T10085380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place des Nations |
E215206
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ariana Park |
E43329
|
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: Ariana Park | Statement: [Place des Nations, near, Ariana Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ariana Park Context triple: [Place des Nations, near, Ariana Park]
-
A.
Ariana Park
chosen
Ariana Park is a large lakeside park in Geneva, Switzerland, best known as the landscaped grounds surrounding the United Nations' Palais des Nations.
-
B.
Kimberly Park
Kimberly Park is a public recreational park located in West Liberty, Iowa.
-
C.
Tei Park
Tei Park is a public park located in Sector 2 of Bucharest, Romania, known for its green spaces and recreational areas.
-
D.
Catherine Park
Catherine Park is a historic landscaped park in Tsarskoye Selo, Russia, renowned for its ornamental gardens, pavilions, and integration with the nearby Catherine Palace.
-
E.
Lucy Park
Lucy Park is a large riverside public park in Wichita Falls, Texas, known for its trails, playgrounds, and recreational facilities.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b68188c48190ac783cdfc072c502 |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9 p.m.