Triple
T6432850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Es Migjorn Gran |
E129818
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Es Migjorn Gran |
E129818
|
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: Es Migjorn Gran | Statement: [Es Migjorn Gran, hasOfficialName, Es Migjorn Gran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Es Migjorn Gran Context triple: [Es Migjorn Gran, hasOfficialName, Es Migjorn Gran]
-
A.
Es Migjorn Gran
chosen
Es Migjorn Gran is a small, rural municipality and village located in the southern part of the Balearic Island of Menorca, Spain.
-
B.
Hodnefjell
Hodnefjell is an island that forms part of the Finnøy archipelago in Norway.
-
C.
Slottsfjellet
Slottsfjellet is a historic hill and former fortress site in Tønsberg, Norway, known for its medieval castle ruins and prominent tower overlooking the city.
-
D.
Galdhøpiggen
Galdhøpiggen is the highest mountain in Norway and Scandinavia, located in the Jotunheimen range.
-
E.
Kvitfjell
Kvitfjell is a Norwegian alpine ski resort renowned for hosting major international competitions, including Olympic and World Cup events.
- 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_69c0084caac48190a7bc2ad8ba44536f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0693de6ac81909f3e330363a52102 |
completed | March 22, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ec681881909c75a55b33c09eb6 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.