Triple
T12190714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iso Omena |
E290452
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Iso Omena@en |
E290452
|
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: Iso Omena@en | Statement: [Iso Omena, hasNameInLanguage, Iso Omena@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iso Omena@en Context triple: [Iso Omena, hasNameInLanguage, Iso Omena@en]
-
A.
Iso Omena
chosen
Iso Omena is a large shopping and services center in Espoo, Finland, featuring a wide range of retail stores, restaurants, and public services.
-
B.
Oisín
Oisín is a legendary poet-warrior of the Fianna in Irish mythology, famed for his adventures and his journey to the otherworldly land of Tír na nÓg.
-
C.
Osma
Osma is a historic town in Spain known for its medieval architecture and religious heritage centered around its cathedral.
-
D.
Ōmori
Ōmori is a district in Tokyo known as a residential and commercial area with convenient access to central parts of the city.
-
E.
Omeo
Omeo is a small historic town in Victoria, Australia, known for its alpine scenery, gold-mining heritage, and role as a gateway to the High Country.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a8d24508190b0a60ca76d775b1e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.