Triple
T8701508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohjoisesplanadi |
E206542
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Esplanadi area |
E748371
|
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: Esplanadi area | Statement: [Pohjoisesplanadi, partOf, Esplanadi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esplanadi area Context triple: [Pohjoisesplanadi, partOf, Esplanadi area]
-
A.
Esplanadi
Esplanadi is a famous park and promenade in central Helsinki known for its green spaces, cafés, and role as a popular gathering place for locals and tourists.
-
B.
Pigalle area
The Pigalle area is a lively Parisian neighborhood known for its historic cabarets, nightlife, and adult entertainment venues near Montmartre on the Right Bank.
-
C.
Picpus neighborhood
Picpus neighborhood is a residential district in eastern Paris known for its quiet streets, historic sites, and proximity to the Place de la Nation.
-
D.
Esplanadi Park
chosen
Esplanadi Park is a popular green promenade and public park in central Helsinki, known for its cafés, cultural events, and role as a key gathering place for locals and tourists.
-
E.
Sentier district
The Sentier district is a historic central Paris neighborhood known for its former textile and garment industry, narrow streets, and more recently its concentration of tech startups and media companies.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b38cf88190bfdcbac9c340cb96 |
completed | March 31, 2026, 11:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef41657588190ba6f79c27658dd1b |
completed | April 2, 2026, 10:56 p.m. |
Created at: March 30, 2026, 6:34 p.m.