Triple
T7412880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nara |
E171053
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Nara-Barya
Nara-Barya is an alternative name for the city of Nara, an ancient Japanese capital renowned for its historic temples, shrines, and cultural heritage.
|
E662094
|
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: Nara-Barya | Statement: [Nara, hasAlternativeName, Nara-Barya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nara-Barya Context triple: [Nara, hasAlternativeName, Nara-Barya]
-
A.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
B.
Ejersa Goro
Ejersa Goro is a town in eastern Ethiopia notable as the birthplace of Emperor Haile Selassie I.
-
C.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
-
D.
Nanbu
Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
-
E.
Kariya
Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
- 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: Nara-Barya Triple: [Nara, hasAlternativeName, Nara-Barya]
Generated description
Nara-Barya is an alternative name for the city of Nara, an ancient Japanese capital renowned for its historic temples, shrines, and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nara-Barya Target entity description: Nara-Barya is an alternative name for the city of Nara, an ancient Japanese capital renowned for its historic temples, shrines, and cultural heritage.
-
A.
Bara
Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
-
B.
Ejersa Goro
Ejersa Goro is a town in eastern Ethiopia notable as the birthplace of Emperor Haile Selassie I.
-
C.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
-
D.
Nanbu
Nanbu is a town in Shizuoka Prefecture, Japan, known for its rural landscape and location near the border with Yamanashi Prefecture.
-
E.
Kariya
Kariya is a Japanese surname most notably associated with former NHL star Paul Kariya.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c336308190932c14cec5eec25f |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8112960d48190a9947146e62daa13 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:11 p.m.