Triple
T6116965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kizugawa |
E136382
|
entity |
| Predicate | hasNameInJapanese |
P28734
|
FINISHED |
| Object |
木津川市
木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
|
E568907
|
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: 木津川市 | Statement: [Kizugawa, hasNameInJapanese, 木津川市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 木津川市 Context triple: [Kizugawa, hasNameInJapanese, 木津川市]
-
A.
高千穂町
高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
-
B.
八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
-
C.
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.
-
D.
Itami City
Itami City is an urban municipality in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport) and its role within the Kansai metropolitan area.
-
E.
Maibara
Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
- 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: 木津川市 Triple: [Kizugawa, hasNameInJapanese, 木津川市]
Generated description
木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 木津川市 Target entity description: 木津川市は、京都府南部に位置し、奈良県に隣接する住宅都市・歴史観光地として発展している市です。
-
A.
高千穂町
高千穂町は、宮崎県北西部に位置し、神話の里として知られる峡谷や高千穂神社などの観光名所で有名な町です。
-
B.
八幡市
八幡市は、京都府南部に位置し、石清水八幡宮などで知られる歴史と自然に恵まれた都市です。
-
C.
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.
-
D.
Itami City
Itami City is an urban municipality in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport) and its role within the Kansai metropolitan area.
-
E.
Maibara
Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
- 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_69c0089f851c81909e5e189a617dcff6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05beb4cfc8190ab67a5338ec59cea |
completed | March 22, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1256ddb38819095f582b6468db407 |
completed | March 23, 2026, 11:35 a.m. |
| NEDg | Description generation | batch_69c125ede4f88190989a5a40accd2745 |
completed | March 23, 2026, 11:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1268ffc7481909a9bd2be039dbf45 |
completed | March 23, 2026, 11:40 a.m. |
Created at: March 22, 2026, 4:14 p.m.