Triple
T3912295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Kotte |
E87349
|
entity |
| Predicate | partitionedInto |
P18247
|
FINISHED |
| Object |
Sitawaka
Sitawaka was a powerful 16th-century Sinhalese kingdom in Sri Lanka known for its resistance against Portuguese colonial expansion.
|
E396940
|
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: Sitawaka | Statement: [Kingdom of Kotte, partitionedInto, Sitawaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sitawaka Context triple: [Kingdom of Kotte, partitionedInto, Sitawaka]
-
A.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
B.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
C.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
-
D.
Matale
Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
-
E.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
- 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: Sitawaka Triple: [Kingdom of Kotte, partitionedInto, Sitawaka]
Generated description
Sitawaka was a powerful 16th-century Sinhalese kingdom in Sri Lanka known for its resistance against Portuguese colonial expansion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sitawaka Target entity description: Sitawaka was a powerful 16th-century Sinhalese kingdom in Sri Lanka known for its resistance against Portuguese colonial expansion.
-
A.
Kalutara
Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
-
B.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
C.
Caibiran
Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
-
D.
Matale
Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
-
E.
Talca
Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
- 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_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef90e5f408190abf8353e153d1558 |
completed | March 9, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb534348190a6e34fa80a6b7b03 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d21f9148190914639d9048f9f8e |
completed | March 14, 2026, 8:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51dd884bc8190bf660c4eb70eccb1 |
completed | March 14, 2026, 8:35 a.m. |
Created at: March 9, 2026, 3:22 p.m.