Triple
T15808593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnoliaceae |
E383283
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Elmerrillia |
E578215
|
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: Elmerrillia | Statement: [Magnoliaceae, includesGenus, Elmerrillia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmerrillia Context triple: [Magnoliaceae, includesGenus, Elmerrillia]
-
A.
Oneroa
Oneroa is the principal village and administrative center on the island of Mangaia in the Cook Islands.
-
B.
Oneroa
Oneroa is the main village and commercial hub of Waiheke Island in New Zealand, known for its beaches, cafes, and relaxed coastal atmosphere.
-
C.
Merrillia
chosen
Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
-
D.
Turnesa
Turnesa is the surname of a prominent American golfing family that produced several notable professional golfers in the early to mid-20th century.
-
E.
Tangolunda
Tangolunda is a coastal resort area in Huatulco, Oaxaca, known for its beaches, hotels, and tourist amenities along the Pacific coast of Mexico.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52896bc819086ef95cc63e90daa |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998fa5588190b28efc2f342405aa |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.