Triple
T6985466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ise |
E161949
|
entity |
| Predicate | hasFormerName |
P65
|
FINISHED |
| Object |
Ujiyamada
Ujiyamada is the former name of the city now known as Ise in Mie Prefecture, Japan, famous for the Ise Grand Shrine.
|
E689528
|
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: Ujiyamada | Statement: [Ise, hasFormerName, Ujiyamada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ujiyamada Context triple: [Ise, hasFormerName, Ujiyamada]
-
A.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
B.
Takarano
Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
-
C.
Takarano
Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
-
D.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
-
E.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
- 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: Ujiyamada Triple: [Ise, hasFormerName, Ujiyamada]
Generated description
Ujiyamada is the former name of the city now known as Ise in Mie Prefecture, Japan, famous for the Ise Grand Shrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ujiyamada Target entity description: Ujiyamada is the former name of the city now known as Ise in Mie Prefecture, Japan, famous for the Ise Grand Shrine.
-
A.
Ukiha
Ukiha is a small city in southwestern Japan known for its rural landscapes, fruit orchards, and traditional townscapes.
-
B.
Takarano
Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
-
C.
Takarano
Takarano is a village located on the atoll of Abaiang in the island nation of Kiribati.
-
D.
Oyamazaki
Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
-
E.
Ichigaya
Ichigaya is a central Tokyo district known for its major railway station, government and educational institutions, and proximity to the Imperial Palace area.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db91fbc881908c26b7b991995062 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c90092f9ac8190a53d65cfdeafca29 |
completed | March 29, 2026, 10:36 a.m. |
| NEDg | Description generation | batch_69c90148db348190907233b354894098 |
completed | March 29, 2026, 10:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c901aab3988190ab72bee1ea8f7e3c |
completed | March 29, 2026, 10:40 a.m. |
Created at: March 27, 2026, 2:31 p.m.