Triple
T272873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Harvest Festival |
E5675
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Apple Fest |
E5675
|
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: Apple Fest | Statement: [Apple Harvest Festival, alsoKnownAs, Apple Fest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apple Fest Context triple: [Apple Harvest Festival, alsoKnownAs, Apple Fest]
-
A.
Apple Harvest Festival
chosen
The Apple Harvest Festival is a popular annual fall celebration in downtown Ithaca, New York, featuring local apples, food vendors, live music, and community activities.
-
B.
Clementine
Clementine is a feminine given name most famously borne by Clementine Churchill, the wife of British Prime Minister Winston Churchill.
-
C.
Malus
Malus is a genus of deciduous trees and shrubs in the rose family best known for cultivated apples and ornamental crabapples.
-
D.
Apple Inc.
Apple Inc. is a multinational technology company best known for designing and selling consumer electronics like the iPhone, Mac, and iPad, along with software and digital services.
-
E.
iPhone
The iPhone is Apple's flagship smartphone line that revolutionized mobile technology by combining a touchscreen interface, internet connectivity, and a robust app ecosystem into a single device.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3914eba9081908cdef8b719c9b20b |
completed | March 1, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.