Triple

T15392394
Position Surface form Disambiguated ID Type / Status
Subject 長堀鶴見緑地線 E368079 entity
Predicate 主要経由地 P65699 FINISHED
Object 長堀橋
長堀橋は、大阪市中央区に位置し、地下鉄駅やビジネス街・繁華街が集まる市内有数の交通・商業拠点エリアである。
E1155369 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: 長堀橋 | Statement: [長堀鶴見緑地線, 主要経由地, 長堀橋]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 長堀橋
Context triple: [長堀鶴見緑地線, 主要経由地, 長堀橋]
  • A. 五条大橋
    五条大橋 is a historic bridge in Kyoto, Japan, best known as the legendary site of the encounter between the warrior monk Benkei and the folk hero Minamoto no Yoshitsune.
  • B. Nijūbashi Bridge
    Nijūbashi Bridge is a famous pair of arched bridges at the main entrance to Tokyo’s Imperial Palace, known as one of Japan’s most iconic and photographed landmarks.
  • C. Nihonbashi Bridge
    Nihonbashi Bridge is a historic stone arch bridge in central Tokyo that has long served as Japan’s traditional kilometer zero and a key commercial and cultural landmark.
  • D. Gobyobashi Bridge
    Gobyobashi Bridge is a small, historic bridge within Koyasan’s Okunoin cemetery complex in Japan, crossed by pilgrims on their way to the mausoleum of Kobo Daishi.
  • E. Sakurabashi Bridge
    Sakurabashi Bridge is a distinctive pedestrian bridge in Tokyo known for its unique X-shaped design spanning the Sumida River and connecting popular riverside parks.
  • 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: 長堀橋
Triple: [長堀鶴見緑地線, 主要経由地, 長堀橋]
Generated description
長堀橋は、大阪市中央区に位置し、地下鉄駅やビジネス街・繁華街が集まる市内有数の交通・商業拠点エリアである。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 長堀橋
Target entity description: 長堀橋は、大阪市中央区に位置し、地下鉄駅やビジネス街・繁華街が集まる市内有数の交通・商業拠点エリアである。
  • A. 五条大橋
    五条大橋 is a historic bridge in Kyoto, Japan, best known as the legendary site of the encounter between the warrior monk Benkei and the folk hero Minamoto no Yoshitsune.
  • B. Nijūbashi Bridge
    Nijūbashi Bridge is a famous pair of arched bridges at the main entrance to Tokyo’s Imperial Palace, known as one of Japan’s most iconic and photographed landmarks.
  • C. Nihonbashi Bridge
    Nihonbashi Bridge is a historic stone arch bridge in central Tokyo that has long served as Japan’s traditional kilometer zero and a key commercial and cultural landmark.
  • D. Gobyobashi Bridge
    Gobyobashi Bridge is a small, historic bridge within Koyasan’s Okunoin cemetery complex in Japan, crossed by pilgrims on their way to the mausoleum of Kobo Daishi.
  • E. Sakurabashi Bridge
    Sakurabashi Bridge is a distinctive pedestrian bridge in Tokyo known for its unique X-shaped design spanning the Sumida River and connecting popular riverside parks.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1350699c8190acf7830d88455851 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff17c6837c8190a2b6fa1ac9c3de01 completed May 9, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_69ff184d63e88190906689e14cfc8933 completed May 9, 2026, 11:19 a.m.
Created at: April 10, 2026, 3:19 a.m.