Triple
T12131264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubiaceae |
E288940
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object |
Randia
Randia is a genus of flowering plants in the coffee family, comprising shrubs and small trees often noted for their fragrant, white, tubular blossoms.
|
E968020
|
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: Randia | Statement: [Rubiaceae, containsTaxon, Randia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randia Context triple: [Rubiaceae, containsTaxon, Randia]
-
A.
Revalia
Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
-
B.
Nortia
Nortia is an Etruscan goddess associated with fate, time, and destiny, often linked to the marking of years and civic decisions.
-
C.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
D.
Rajura
Rajura is a town in Maharashtra, India, known for its coal mining and cement industries.
-
E.
Chaldoran
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
- 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: Randia Triple: [Rubiaceae, containsTaxon, Randia]
Generated description
Randia is a genus of flowering plants in the coffee family, comprising shrubs and small trees often noted for their fragrant, white, tubular blossoms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randia Target entity description: Randia is a genus of flowering plants in the coffee family, comprising shrubs and small trees often noted for their fragrant, white, tubular blossoms.
-
A.
Revalia
Revalia is an alternative name historically used for the city of Reval, now known as Tallinn, the capital of Estonia.
-
B.
Nortia
Nortia is an Etruscan goddess associated with fate, time, and destiny, often linked to the marking of years and civic decisions.
-
C.
Dorla
Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
-
D.
Rajura
Rajura is a town in Maharashtra, India, known for its coal mining and cement industries.
-
E.
Chaldoran
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158b34648190b5eecdf9b07fbb3f |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.