Triple
T15808591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnoliaceae |
E383283
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Talauma
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
|
E1180768
|
NE FINISHED |
How this triple was built (4 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: Talauma | Statement: [Magnoliaceae, includesGenus, Talauma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talauma Context triple: [Magnoliaceae, includesGenus, Talauma]
-
A.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
B.
Tyalgum
Tyalgum is a small rural village in northern New South Wales, Australia, known for its scenic hinterland setting near Mount Warning (Wollumbin) and its strong arts and music community.
-
C.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
D.
Torla
Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
-
E.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Talauma Triple: [Magnoliaceae, includesGenus, Talauma]
Generated description
Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Talauma Target entity description: Talauma is a genus of flowering plants in the magnolia family, known for its large, often fragrant blossoms and tropical to subtropical distribution.
-
A.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
B.
Tyalgum
Tyalgum is a small rural village in northern New South Wales, Australia, known for its scenic hinterland setting near Mount Warning (Wollumbin) and its strong arts and music community.
-
C.
Tamasopo
Tamasopo is a small town in the Huasteca Potosina region of San Luis Potosí, Mexico, known for its lush landscapes and popular nearby waterfalls and natural swimming areas.
-
D.
Torla
Torla is a picturesque mountain village in the Spanish Pyrenees, serving as a main gateway to the Ordesa y Monte Perdido National Park.
-
E.
Telnaes
Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
- F. None of above. chosen
Provenance (5 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_69ffa939b4608190ac411b2f2f61e19e |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9c5b1d48190af08d2eef2c627ef |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa1b2b788190909b0921089d3f8c |
completed | May 9, 2026, 9:41 p.m. |
Created at: April 10, 2026, 4:48 a.m.