Triple
T10925287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonalu |
E258048
|
entity |
| Predicate | timeOfYear |
P1167
|
FINISHED |
| Object | July |
E144993
|
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: July | Statement: [Bonalu, timeOfYear, July]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: July Context triple: [Bonalu, timeOfYear, July]
-
A.
July
chosen
July is the seventh month of the year, typically associated with mid-summer in the Northern Hemisphere and named after Julius Caesar.
-
B.
June
June is an early-summer month in the Northern Hemisphere often associated with favorable weather for outdoor activities and mountaineering.
-
C.
August
August is a masculine given name of Latin origin, commonly used in Germanic and other European languages and associated with figures such as the classical philologist Friedrich August Wolf.
-
D.
Juni
Juni is a bilingual producer known for creating content across multiple languages.
-
E.
Juin
Juin is the surname of Alphonse Juin, a prominent French general and Marshal of France during World War II.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77090997881909d81b15c6cdfd91c |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217369b648190914c58db6f6e0200 |
completed | April 17, 2026, 11:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.