Triple
T23521867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of Rome |
E574529
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Rome City Hall |
—
|
NE NERFINISHED |
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: Rome City Hall | Statement: [Mayor of Rome, seat, Rome City Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rome City Hall Context triple: [Mayor of Rome, seat, Rome City Hall]
-
A.
Rome City Hall
chosen
Rome City Hall is the municipal government headquarters of Rome, located atop the historic Capitoline Hill.
-
B.
Naples City Hall
Naples City Hall is the main administrative and political headquarters of the city government of Naples, Italy.
-
C.
Turin City Hall
Turin City Hall is the historic municipal building in central Turin that houses the city’s main administrative offices and political institutions.
-
D.
San Marino City Hall
San Marino City Hall is the main municipal government building and administrative center serving the city of San Marino, California.
-
E.
Bologna city hall
Bologna city hall is the historic municipal building complex on Piazza Maggiore in Bologna, Italy, known for its medieval architecture and role as the seat of the city’s government.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa873ad48190a86807bd4f26df82 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.