Triple
T1401304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town (Vieux-Nice) |
E30788
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Place Rossetti |
E82998
|
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: Place Rossetti | Statement: [Old Town (Vieux-Nice), hasPart, Place Rossetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Rossetti Context triple: [Old Town (Vieux-Nice), hasPart, Place Rossetti]
-
A.
Place Rossetti
chosen
Place Rossetti is a lively historic square in the Old Town of Nice, France, known for its cafés, ice cream shops, and proximity to the city’s cathedral.
-
B.
Rydal
Rydal is a small village in England’s Lake District, known for its scenic lake and its association with the poet William Wordsworth.
-
C.
Sidney
Sidney is the given name of Sidney Godolphin, 1st Earl of Godolphin, a prominent English statesman and Lord High Treasurer under Queen Anne.
-
D.
Sidney
Sidney is the given name of Sid Luft, the American show business figure best known as the third husband and manager of entertainer Judy Garland.
-
E.
Anne Milton
Anne Milton was one of the daughters of the 17th-century English poet and intellectual John Milton.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39da20c8190b9c82cc4ad747c66 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde3799f881908efb4ee73d412482 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.