Triple
T18935402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matale District |
E463230
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Matale city |
—
|
NE NERFINISHED |
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: Matale city | Statement: [Matale District, contains, Matale city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matale city Context triple: [Matale District, contains, Matale city]
-
A.
Matale
chosen
Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
-
B.
Matale District
Matale District is an administrative district in central Sri Lanka known for its spice plantations, historical sites, and mountainous landscapes.
-
C.
Karuma town
Karuma town is a settlement in northern Uganda situated near the Karuma Falls on the Nile River, known primarily for its proximity to the Karuma Hydropower Station.
-
D.
Ciudad Ojeda
Ciudad Ojeda is an oil-industry city in northwestern Venezuela, located on the eastern shore of Lake Maracaibo in Zulia state.
-
E.
City of Coyhaique
The City of Coyhaique is the principal urban center and regional capital of Chile’s Aysén Region, known for its role as a gateway to Patagonia’s rugged landscapes and outdoor tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e6a8208190973669cae439a91e |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.