Triple
T20873277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafflesiaceae |
E513947
|
entity |
| Predicate | containsGenus |
P9413
|
FINISHED |
| Object |
Sapria
Sapria is a rare genus of parasitic flowering plants known for producing large, foul-smelling blossoms similar to those of its relative Rafflesia.
|
E1455438
|
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: Sapria | Statement: [Rafflesiaceae, containsGenus, Sapria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sapria Context triple: [Rafflesiaceae, containsGenus, Sapria]
-
A.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania region.
-
B.
Sapanca
Sapanca is a lakeside town and popular nature tourism destination in Turkey’s Marmara region, known for its scenic lake, forests, and proximity to major cities like Istanbul.
-
C.
Sapê
Sapê is a municipality in the state of Paraíba, Brazil, known for its agricultural activities and role in the region’s economic and cultural life.
-
D.
Sahpresa
Sahpresa is a high-class Thoroughbred racehorse best known for winning multiple editions of the Group 1 Sun Chariot Stakes in England.
-
E.
Sipa
Sipa is a small settlement located in Rapla County in central Estonia.
- 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: Sapria Triple: [Rafflesiaceae, containsGenus, Sapria]
Generated description
Sapria is a rare genus of parasitic flowering plants known for producing large, foul-smelling blossoms similar to those of its relative Rafflesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sapria Target entity description: Sapria is a rare genus of parasitic flowering plants known for producing large, foul-smelling blossoms similar to those of its relative Rafflesia.
-
A.
Sapri
Sapri is a coastal town in southern Italy known for its scenic Gulf of Policastro setting and role as a seaside resort in the Campania region.
-
B.
Sapanca
Sapanca is a lakeside town and popular nature tourism destination in Turkey’s Marmara region, known for its scenic lake, forests, and proximity to major cities like Istanbul.
-
C.
Sapê
Sapê is a municipality in the state of Paraíba, Brazil, known for its agricultural activities and role in the region’s economic and cultural life.
-
D.
Sahpresa
Sahpresa is a high-class Thoroughbred racehorse best known for winning multiple editions of the Group 1 Sun Chariot Stakes in England.
-
E.
Sipa
Sipa is a small settlement located in Rapla County in central Estonia.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c46639308190a616193f3975d453 |
completed | April 21, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139e7854819098246a47699fdf1f |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09145a9b0481909086941cdd981e1a |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914f1925081909bce8ad0932c6722 |
completed | May 17, 2026, 1:08 a.m. |
Created at: April 16, 2026, 12:45 p.m.