Triple
T12427305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mweelrea Mountains |
E296931
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object | Mweelrea |
E300278
|
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: Mweelrea | Statement: [Mweelrea Mountains, hasHighestPoint, Mweelrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mweelrea Context triple: [Mweelrea Mountains, hasHighestPoint, Mweelrea]
-
A.
Mweelrea
chosen
Mweelrea is a prominent mountain in County Mayo, Ireland, known as the highest peak in the province of Connacht and a popular destination for hikers.
-
B.
Girga
Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
-
C.
Maasara
Maasara is an industrial and residential district in the Greater Cairo area of Egypt, known for its factories and proximity to the Nile.
-
D.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
-
E.
Merefa
Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556686448190ad408b826ebc01c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.