Triple
T23300514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beddegama |
E590288
|
entity |
| Predicate | hasNotableCharacter |
P7927
|
FINISHED |
| Object |
Silindu
Silindu is the impoverished, persecuted hunter who serves as the tragic central figure in Leonard Woolf’s novel "The Village in the Jungle."
|
E1580210
|
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: Silindu | Statement: [Beddegama, hasNotableCharacter, Silindu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silindu Context triple: [Beddegama, hasNotableCharacter, Silindu]
-
A.
Sihala
Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
-
B.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
C.
Sabile
Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
-
D.
Sisaniya
Sisaniya is a locality situated within Nepal’s Greater Lumbini Area, a region renowned as the birthplace of Buddha and an important Buddhist pilgrimage destination.
-
E.
Melsisi
Melsisi is a coastal village and mission station on Pentecost Island in Vanuatu, known for its Catholic mission, school, and local health services.
- 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: Silindu Triple: [Beddegama, hasNotableCharacter, Silindu]
Generated description
Silindu is the impoverished, persecuted hunter who serves as the tragic central figure in Leonard Woolf’s novel "The Village in the Jungle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silindu Target entity description: Silindu is the impoverished, persecuted hunter who serves as the tragic central figure in Leonard Woolf’s novel "The Village in the Jungle."
-
A.
Sihala
Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
-
B.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
C.
Sabile
Sabile is a small Latvian town in the Kurzeme region, known for its historic wine hill and picturesque setting along the River Abava.
-
D.
Sisaniya
Sisaniya is a locality situated within Nepal’s Greater Lumbini Area, a region renowned as the birthplace of Buddha and an important Buddhist pilgrimage destination.
-
E.
Melsisi
Melsisi is a coastal village and mission station on Pentecost Island in Vanuatu, known for its Catholic mission, school, and local health services.
- 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d2b5dc819084b4d0290184de62 |
completed | April 29, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c9730908190960a47f7fee9e0c2 |
completed | May 19, 2026, 11:42 a.m. |
| NEDg | Description generation | batch_6a0c4ee292f08190a44326d433f37c65 |
completed | May 19, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c4f796b688190a8971ebd238e08f2 |
completed | May 19, 2026, 11:54 a.m. |
Created at: April 17, 2026, 5:04 p.m.