Triple
T11689709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polonnaruwa |
E277835
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Alahana Pirivena
Alahana Pirivena is an ancient Buddhist monastic complex and archaeological site in Polonnaruwa, Sri Lanka, known for its monasteries, stupas, and royal cremation grounds.
|
E940796
|
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: Alahana Pirivena | Statement: [Polonnaruwa, hasPart, Alahana Pirivena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alahana Pirivena Context triple: [Polonnaruwa, hasPart, Alahana Pirivena]
-
A.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
B.
Udaya
Udaya is a given name most notably associated with D. Udaya Kumar, the Indian designer who created the Indian rupee sign.
-
C.
Hala Pisana
Hala Pisana is a scenic mountain meadow in Poland’s Tatra Mountains, known for its picturesque alpine landscapes and traditional pastoral character.
-
D.
Nawalapitiya
Nawalapitiya is a town in Sri Lanka known for its tea plantations and hilly terrain, located within the country's Central Province.
-
E.
Ahangama
Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
- 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: Alahana Pirivena Triple: [Polonnaruwa, hasPart, Alahana Pirivena]
Generated description
Alahana Pirivena is an ancient Buddhist monastic complex and archaeological site in Polonnaruwa, Sri Lanka, known for its monasteries, stupas, and royal cremation grounds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alahana Pirivena Target entity description: Alahana Pirivena is an ancient Buddhist monastic complex and archaeological site in Polonnaruwa, Sri Lanka, known for its monasteries, stupas, and royal cremation grounds.
-
A.
Nelum Kuluna
Nelum Kuluna is the popular Sinhala name for the Lotus Tower, a prominent telecommunications and observation tower in Colombo, Sri Lanka.
-
B.
Udaya
Udaya is a given name most notably associated with D. Udaya Kumar, the Indian designer who created the Indian rupee sign.
-
C.
Hala Pisana
Hala Pisana is a scenic mountain meadow in Poland’s Tatra Mountains, known for its picturesque alpine landscapes and traditional pastoral character.
-
D.
Nawalapitiya
Nawalapitiya is a town in Sri Lanka known for its tea plantations and hilly terrain, located within the country's Central Province.
-
E.
Ahangama
Ahangama is a coastal town in southern Sri Lanka known for its beaches, surfing spots, and traditional stilt fishermen.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a478f4c481908b2ba7b70972590d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1451b4708190be9aa0439aface7a |
completed | April 27, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.