Triple
T15268367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nilsson Schmilsson |
E364956
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Coconut |
E285075
|
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: Coconut | Statement: [Nilsson Schmilsson, hasTrack, Coconut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coconut Context triple: [Nilsson Schmilsson, hasTrack, Coconut]
-
A.
Cocos nucifera
chosen
Cocos nucifera is the coconut palm, a tropical monocot tree cultivated worldwide for its fruit, oil, fiber, and other versatile products.
-
B.
Macadamia
Macadamia is a genus of Australian evergreen trees best known for producing rich, buttery edible nuts widely used in confectionery and cooking.
-
C.
Durio
Durio is a genus of tropical trees best known for producing durian, a large, spiky fruit famous for its strong odor and rich, custard-like flesh.
-
D.
Mangifera
Mangifera is a genus of tropical fruit-bearing trees in the cashew family, best known for including the cultivated mango species.
-
E.
Banana
Banana is a port town in the Democratic Republic of the Congo situated on the Atlantic coast at the mouth of the Congo River.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094ca9ac8190a1f97a7b74c96cd5 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee602067c81908b1aaaca8871eeb9 |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 10, 2026, 3:14 a.m.