Triple
T13959593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ampara District |
E335756
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sammanthurai
Sammanthurai is a town in Sri Lanka’s Eastern Province known for its predominantly Muslim community and agriculture-based local economy.
|
E1071433
|
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: Sammanthurai | Statement: [Ampara District, hasSettlement, Sammanthurai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sammanthurai Context triple: [Ampara District, hasSettlement, Sammanthurai]
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Tehkummah
Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
-
C.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
D.
Sarrainodu
Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
-
E.
Sambali
Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
- 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: Sammanthurai Triple: [Ampara District, hasSettlement, Sammanthurai]
Generated description
Sammanthurai is a town in Sri Lanka’s Eastern Province known for its predominantly Muslim community and agriculture-based local economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sammanthurai Target entity description: Sammanthurai is a town in Sri Lanka’s Eastern Province known for its predominantly Muslim community and agriculture-based local economy.
-
A.
Sameba
Sameba is the monumental main cathedral of the Georgian Orthodox Church in Tbilisi, renowned as one of the largest religious buildings in the Caucasus.
-
B.
Tehkummah
Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
-
C.
Sauviat
Sauviat is a commune in central France, located within the Puy-de-Dôme department in the Auvergne region.
-
D.
Sarrainodu
Sarrainodu is a 2016 Indian Telugu-language action film known for its high-octane fight sequences, mass appeal, and Allu Arjun’s charismatic performance.
-
E.
Sambali
Sambali is an Austronesian language spoken by the Sambal people of the Zambales region in the Philippines.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7b2f908190aa32f22298964746 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d490048190b28cb44dd4ec46c4 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba5646cb48190acd932f6fbd6fe62 |
completed | May 6, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba6525d0c8190a1ab15881030c11c |
completed | May 6, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:17 p.m.