Triple
T16760140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghedi |
E407318
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Leno |
E827668
|
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: Leno | Statement: [Ghedi, locatedNear, Leno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leno Context triple: [Ghedi, locatedNear, Leno]
-
A.
Leno
chosen
Leno is a river in northern Italy that serves as a tributary of the Brenta River.
-
B.
Mark Leno
Mark Leno is an American Democratic politician and former California state legislator known for representing San Francisco in both the State Assembly and State Senate.
-
C.
Jay Leno
Jay Leno is an American comedian and longtime host of NBC’s “The Tonight Show,” known for his observational stand-up and prominent role in late-night television.
-
D.
Chevy Chase
Chevy Chase is an American comedian and actor best known for his work on "Saturday Night Live" and the "National Lampoon's Vacation" film series.
-
E.
Will Murray
Will Murray is an American writer best known for his extensive work continuing classic pulp fiction series, particularly the Doc Savage novels.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abec638c81909d71ff452a4123c9 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52b17b88190af24c04d16980c9f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.