Triple
T9792669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomás Borge |
E237641
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Borge |
E298658
|
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: Borge | Statement: [Tomás Borge, familyName, Borge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borge Context triple: [Tomás Borge, familyName, Borge]
-
A.
Borge
chosen
Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
-
B.
Ornes
Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
-
C.
Liland
Liland is a small village in Evenes Municipality in Nordland county, Norway, known for its scenic coastal setting in Northern Norway.
-
D.
Blomstedt
Blomstedt is a surname most prominently associated with Herbert Blomstedt, a renowned Swedish conductor known for his interpretations of the classical and romantic repertoire.
-
E.
Leijonborg
Leijonborg is a Swedish surname most notably associated with politician Lars Leijonborg, a former leader of the Liberal People's Party in Sweden.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda346945481908c2698a79c578ef5 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4368da88190a70e93ec4d6bef93 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.