Triple
T14357727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itō Hirobumi |
E356013
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Hōfu
Hōfu is a city in Yamaguchi Prefecture, Japan, known historically as the birthplace of influential Meiji-era statesman Itō Hirobumi.
|
E1288193
|
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: Hōfu | Statement: [Itō Hirobumi, birthPlace, Hōfu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hōfu Context triple: [Itō Hirobumi, birthPlace, Hōfu]
-
A.
Miyakonojō
Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
-
B.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
C.
Takasago
Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
-
D.
Hitoyoshi
Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
-
E.
Meerufenfushi
Meerufenfushi is a small, picturesque resort island in the Maldives known for its white-sand beaches, clear turquoise waters, and overwater bungalows.
- 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: Hōfu Triple: [Itō Hirobumi, birthPlace, Hōfu]
Generated description
Hōfu is a city in Yamaguchi Prefecture, Japan, known historically as the birthplace of influential Meiji-era statesman Itō Hirobumi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hōfu Target entity description: Hōfu is a city in Yamaguchi Prefecture, Japan, known historically as the birthplace of influential Meiji-era statesman Itō Hirobumi.
-
A.
Miyakonojō
Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
-
B.
Yurihonjō
Yurihonjō is a coastal city in Akita Prefecture, Japan, known for its rice farming, sake production, and scenic Sea of Japan shoreline.
-
C.
Takasago
Takasago is a classic Noh play, traditionally attributed to Zeami Motokiyo, that centers on an elderly couple symbolizing marital harmony and the unity of past and present.
-
D.
Hitoyoshi
Hitoyoshi is a historic riverside city in southern Japan known for its hot springs, traditional townscape, and scenic Kuma River.
-
E.
Meerufenfushi
Meerufenfushi is a small, picturesque resort island in the Maldives known for its white-sand beaches, clear turquoise waters, and overwater bungalows.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02f81d640081908917144f31227edd |
completed | May 12, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_6a02f8ca36588190a1d5de8494777d61 |
completed | May 12, 2026, 9:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a02f9de0ae48190816002a5d32718a1 |
completed | May 12, 2026, 9:58 a.m. |
Created at: April 10, 2026, 1:15 a.m.