Triple
T1132672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lanka |
E23066
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Sinhala |
E10172
|
NE FINISHED |
How this triple was built (2 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: Sinhala | Statement: [Sri Lanka, officialLanguage, Sinhala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinhala Context triple: [Sri Lanka, officialLanguage, Sinhala]
-
A.
Sinhala
chosen
Sinhala is an Indo-Aryan language primarily spoken by the Sinhalese people of Sri Lanka and used as one of the country’s official languages.
-
B.
Sinhalese
The Sinhalese are the largest ethnic group in Sri Lanka, predominantly Buddhist and historically associated with the island’s Sinhala language and culture.
-
C.
Jaffna Tamil
Jaffna Tamil is a distinct regional variety of the Tamil language spoken primarily in and around Jaffna in northern Sri Lanka, known for its conservative linguistic features and unique phonology and vocabulary.
-
D.
Sinhala script
The Sinhala script is an abugida writing system used primarily in Sri Lanka to write the Sinhala language and, to a lesser extent, Pali and Sanskrit.
-
E.
SRILANKAN
SRILANKAN is the radio callsign used by SriLankan Airlines, the flag carrier of Sri Lanka.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493ec75988190b63a11bafaec29b4 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bbfcdf848190a2917d796ca84b74 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ead716c81908bf7c6531cbff7f1 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.