Triple
T16550009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnoliales |
E402045
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object | Liriodendron |
E1177825
|
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: Liriodendron | Statement: [Magnoliales, includesGenus, Liriodendron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liriodendron Context triple: [Magnoliales, includesGenus, Liriodendron]
-
A.
Liriodendron
chosen
Liriodendron is a small genus of large, deciduous trees commonly known as tulip trees or yellow poplars, valued for their distinctive tulip-shaped flowers and high-quality timber.
-
B.
Liquidambar
Liquidambar is a genus of deciduous trees, commonly known as sweetgums, valued for their star-shaped leaves and vibrant autumn foliage.
-
C.
Ostrya
Ostrya is a genus of deciduous hardwood trees commonly known as hop-hornbeams, recognized for their hop-like fruit clusters and strong, durable wood.
-
D.
Arbutus
Arbutus is an unincorporated community in Baltimore County, Maryland, known as a residential suburb of Baltimore near the University of Maryland, Baltimore County.
-
E.
Nyssa
Nyssa is a companion of the Fifth Doctor in the long-running British science fiction television series Doctor Who.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.