Triple
T11309611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寝屋川市 |
E267802
|
entity |
| Predicate | 隣接自治体 |
P33892
|
FINISHED |
| Object |
四條畷市
四條畷市は、大阪府北東部に位置し、住宅地と生駒山系の自然が共存する中規模の都市です。
|
E917313
|
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: 四條畷市 | Statement: [寝屋川市, 隣接自治体, 四條畷市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 四條畷市 Context triple: [寝屋川市, 隣接自治体, 四條畷市]
-
A.
Higashimatsuyama
Higashimatsuyama is a city in Saitama Prefecture, Japan, known for its residential suburbs, local commerce, and rail links to the Tokyo metropolitan area.
-
B.
大阪府豊中市
大阪府豊中市は、大阪府北部に位置し、大阪国際空港(伊丹空港)を抱える住宅都市・文教都市として知られる市です。
-
C.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
D.
Wakayama City
Wakayama City is a coastal city in Japan known for its historic Wakayama Castle, scenic views over Wakayama Bay, and role as a regional commercial and cultural center in the Kansai area.
-
E.
伊勢市
伊勢市 is a city in Mie Prefecture, Japan, best known as the home of the sacred Ise Grand Shrine, one of Shinto’s most important religious sites.
- 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: 四條畷市 Triple: [寝屋川市, 隣接自治体, 四條畷市]
Generated description
四條畷市は、大阪府北東部に位置し、住宅地と生駒山系の自然が共存する中規模の都市です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 四條畷市 Target entity description: 四條畷市は、大阪府北東部に位置し、住宅地と生駒山系の自然が共存する中規模の都市です。
-
A.
Higashimatsuyama
Higashimatsuyama is a city in Saitama Prefecture, Japan, known for its residential suburbs, local commerce, and rail links to the Tokyo metropolitan area.
-
B.
大阪府豊中市
大阪府豊中市は、大阪府北部に位置し、大阪国際空港(伊丹空港)を抱える住宅都市・文教都市として知られる市です。
-
C.
Nishinomiya
Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
-
D.
Wakayama City
Wakayama City is a coastal city in Japan known for its historic Wakayama Castle, scenic views over Wakayama Bay, and role as a regional commercial and cultural center in the Kansai area.
-
E.
伊勢市
伊勢市 is a city in Mie Prefecture, Japan, best known as the home of the sacred Ise Grand Shrine, one of Shinto’s most important religious sites.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a70022081908bc74185003a3503 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516bec3e481909cbd0d9c683d2191 |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.