Triple
T9059908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Attala County |
E217094
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Kosciusko |
E774909
|
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: Kosciusko | Statement: [Attala County, largestCity, Kosciusko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kosciusko Context triple: [Attala County, largestCity, Kosciusko]
-
A.
Kosciusko
chosen
Kosciusko is a small city in central Mississippi known for being the birthplace of Oprah Winfrey and for its historic downtown.
-
B.
Monte Darwin
Monte Darwin is a prominent, glacier-covered mountain in the Chilean portion of Tierra del Fuego, known as one of the southernmost significant peaks in the Andes.
-
C.
Mount Kosciuszko
Mount Kosciuszko is the tallest mountain in mainland Australia, located in the Snowy Mountains of New South Wales.
-
D.
Mount Fitzsimmons
Mount Fitzsimmons is a prominent peak in British Columbia’s Coast Mountains, known for its rugged alpine terrain and popularity among climbers and backcountry skiers.
-
E.
Mount William
Mount William is a prominent peak in western Victoria, Australia, known for its scenic views and status as the highest summit in the Grampians range.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01798a79081909885a8e61bf04dc3 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:10 p.m.