Triple
T11485447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afon Lliw |
E272262
|
entity |
| Predicate | flowsInto |
P408
|
FINISHED |
| Object | Bala Lake |
E53435
|
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: Bala Lake | Statement: [Afon Lliw, flowsInto, Bala Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bala Lake Context triple: [Afon Lliw, flowsInto, Bala Lake]
-
A.
Bala Lake
chosen
Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
-
B.
Satpara Lake
Satpara Lake is a high-altitude natural lake near Skardu in northern Pakistan, known for its turquoise waters, surrounding rugged mountains, and role as a key freshwater and hydroelectric resource for the region.
-
C.
Berijam Lake
Berijam Lake is a scenic freshwater reservoir near Kodaikanal in Tamil Nadu, India, known for its tranquil forested surroundings, rich biodiversity, and popular nature trails.
-
D.
Sarangan Lake
Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
-
E.
Lulusar Lake
Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624b12c04819085cc5f7dd64283ca |
completed | April 20, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:36 p.m.