Triple
T8354608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Ontake |
E196652
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object |
Gero
Gero is a Japanese hot spring resort city in Gifu Prefecture, renowned for its historic onsen baths and scenic mountain surroundings.
|
E727569
|
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: Gero | Statement: [Mount Ontake, nearbyCity, Gero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gero Context triple: [Mount Ontake, nearbyCity, Gero]
-
A.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
B.
Geras
Geras is the Greek personification of old age, often depicted as a withered, decrepit figure and associated with the inevitable decline that comes with time.
-
C.
Geri
Geri is a common diminutive or nickname for the given name Geraldine.
-
D.
Geri
Geri is one of the two mythological wolves who accompany the Norse god Odin.
-
E.
Gerson
Gerson is a surname most notably associated with American screenwriter Daniel Gerson, known for co-writing several popular animated films.
- 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: Gero Triple: [Mount Ontake, nearbyCity, Gero]
Generated description
Gero is a Japanese hot spring resort city in Gifu Prefecture, renowned for its historic onsen baths and scenic mountain surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gero Target entity description: Gero is a Japanese hot spring resort city in Gifu Prefecture, renowned for its historic onsen baths and scenic mountain surroundings.
-
A.
Gerenia
Gerenia is an ancient town in Messenia, Greece, best known in Greek mythology as the homeland of the wise hero Nestor.
-
B.
Geras
Geras is the Greek personification of old age, often depicted as a withered, decrepit figure and associated with the inevitable decline that comes with time.
-
C.
Geri
Geri is a common diminutive or nickname for the given name Geraldine.
-
D.
Geri
Geri is one of the two mythological wolves who accompany the Norse god Odin.
-
E.
Gerson
Gerson is a surname most notably associated with American screenwriter Daniel Gerson, known for co-writing several popular animated films.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc75e94288190ba1905dd4ca172dd |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc86626c8190a4206feedea24b41 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcde02e088190be8220f7d18d6700 |
completed | April 2, 2026, 2:01 a.m. |
Created at: March 30, 2026, 5:59 p.m.