Triple
T619162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Assembly at Troezen |
E14472
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Troezen |
E70938
|
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: Troezen | Statement: [National Assembly at Troezen, location, Troezen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Troezen Context triple: [National Assembly at Troezen, location, Troezen]
-
A.
Troezen
chosen
Troezen is an ancient Greek city in the northeastern Peloponnese, historically significant as a political and cultural center and as the legendary birthplace of the hero Theseus.
-
B.
The Wedding
"The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
-
C.
Dranse
The Dranse is a river in the Haute-Savoie region of France that flows from the Alps into Lake Geneva near Thonon-les-Bains.
-
D.
A Wedding
"A Wedding" is a 1978 ensemble comedy film directed by Robert Altman that satirically portrays the chaos and social dynamics surrounding an upper-class wedding.
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e25956c8190a1eed87002548658 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a55a79a0488190a9d22229ea97e5ec |
completed | March 2, 2026, 9:38 a.m. |
Created at: March 1, 2026, 7:35 p.m.