Triple
T1702937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social War |
E36806
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | Vestini |
E85770
|
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: Vestini | Statement: [Social War, opponent, Vestini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vestini Context triple: [Social War, opponent, Vestini]
-
A.
Vestini
chosen
The Vestini were an ancient Italic tribe that inhabited the central Apennine region of Italy, particularly in what is now Abruzzo, during the pre-Roman and early Roman periods.
-
B.
Vestli
Vestli is a residential neighborhood in the Stovner borough of Oslo, Norway, known for being served by the Oslo Metro.
-
C.
Vivienne
Vivienne was a British writer and socialite best known as the first wife of poet T. S. Eliot and a central, troubled figure in his life and work.
-
D.
Naiki
Naiki is a Dravidian language spoken by indigenous communities in central India, particularly in parts of Maharashtra and adjoining regions.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f0eb408190809d1f6496d38e0b |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8acc65588190b09cc3528ff19653 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:30 p.m.