Triple

T24364889
Position Surface form Disambiguated ID Type / Status
Subject Sizihwan Station E614166 entity
Predicate near P350 FINISHED
Object Former British Consulate at Takao
The Former British Consulate at Takao is a historic 19th-century British diplomatic building in Kaohsiung, Taiwan, now preserved as a heritage site and popular tourist attraction overlooking the harbor.
E1630825 NE FINISHED

How this triple was built (2 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: Former British Consulate at Takao | Statement: [Sizihwan Station, near, Former British Consulate at Takao]
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: Former British Consulate at Takao
Triple: [Sizihwan Station, near, Former British Consulate at Takao]
Generated description
The Former British Consulate at Takao is a historic 19th-century British diplomatic building in Kaohsiung, Taiwan, now preserved as a heritage site and popular tourist attraction overlooking the harbor.

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_69e2d7dfe7f08190b7a1f3a36483ab05 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293874f7c8190b472e99640e97f62 completed April 29, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd67166688190b705e329336d0afd completed May 22, 2026, 4:07 a.m.
NEDg Description generation batch_6a0fd79af7dc81909b36001ba18566fa completed May 22, 2026, 4:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd86469288190aa03fe497754bad3 completed May 22, 2026, 4:15 a.m.
Created at: April 18, 2026, 2:01 a.m.