Triple
T12190615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otaniemi |
E290450
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Otaranta
Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
|
E969784
|
NE FINISHED |
How this triple was built (4 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: Otaranta | Statement: [Otaniemi, hasPart, Otaranta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otaranta Context triple: [Otaniemi, hasPart, Otaranta]
-
A.
Olza River
The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
-
B.
Oto River
The Oto River is a tributary waterway in Japan that feeds into the larger Kumano River system.
-
C.
Uono River
The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
-
D.
Tuul River
The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
-
E.
Ina River
The Ina River is a waterway in northwestern Poland that flows through the town of Stargard before joining the Oder River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Otaranta Triple: [Otaniemi, hasPart, Otaranta]
Generated description
Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otaranta Target entity description: Otaranta is a residential and campus area within Otaniemi in Espoo, Finland, known for its student housing and proximity to Aalto University.
-
A.
Olza River
The Olza River is a Central European river that flows through the historical region of Cieszyn Silesia, forming part of the border between Poland and the Czech Republic.
-
B.
Oto River
The Oto River is a tributary waterway in Japan that feeds into the larger Kumano River system.
-
C.
Uono River
The Uono River is a river in Niigata Prefecture, Japan, that flows through the Uonuma region before joining the Shinano River.
-
D.
Tuul River
The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
-
E.
Ina River
The Ina River is a waterway in northwestern Poland that flows through the town of Stargard before joining the Oder River.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f60c9276d0819086b5f7712fe8d6e6 |
completed | May 2, 2026, 2:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60d4c30448190874f253b864ef61e |
completed | May 2, 2026, 2:42 p.m. |
Created at: April 8, 2026, 9:50 p.m.