Triple
T13375994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 89 |
E319184
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Markleeville |
E325033
|
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: Markleeville | Statement: [State Route 89, passesNear, Markleeville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markleeville Context triple: [State Route 89, passesNear, Markleeville]
-
A.
Markleeville
chosen
Markleeville is a small unincorporated community in the Sierra Nevada of California known for its historic charm, outdoor recreation, and role as the administrative center of Alpine County.
-
B.
Mapleville
Mapleville is a small village and census-designated place located within the town of Burrillville in northern Rhode Island.
-
C.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
D.
Fiskeville
Fiskeville is a small village located within the town of Cranston in Providence County, Rhode Island.
-
E.
Munsieville
Munsieville is a historically significant township in Gauteng, South Africa, known for its role in the anti-apartheid struggle and its location near Krugersdorp.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce3fec48190a5443d87c85477a3 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72684f3408190952d2619b6b8d241 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.