Triple
T20641054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arese |
E507223
|
entity |
| Predicate | nearbyMunicipality |
P4647
|
FINISHED |
| Object | Rho |
—
|
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: Rho | Statement: [Arese, nearbyMunicipality, Rho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rho Context triple: [Arese, nearbyMunicipality, Rho]
-
A.
Rho
chosen
Rho is a municipality in the Metropolitan City of Milan in northern Italy, known for its proximity to Milan and its role as a residential and industrial hub.
-
B.
RHO
RHO is the IATA airport code for Rhodes International Airport Diagoras, the main airport serving the Greek island of Rhodes.
-
C.
Rhoiteion
Rhoiteion was an ancient town in the Troad region of northwestern Asia Minor, near the Hellespont, known from classical Greek and Roman geography.
-
D.
Rhoikos
Rhoikos was an early 6th-century BC Greek architect renowned for designing one of the first monumental Ionic temples, the Temple of Hera on Samos.
-
E.
Ras
Ras is a historic medieval region and former capital area of the early Serbian state, known for its significant monasteries and fortifications.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad132ebc8190b557914cf31a9033 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:43 a.m.