Triple

T12546162
Position Surface form Disambiguated ID Type / Status
Subject Tábor E299973 entity
Predicate hasLandmark P105 FINISHED
Object Bechyně Gate
Bechyně Gate is a historic medieval city gate and one of the best-preserved architectural landmarks in the Czech town of Tábor.
 E990194 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: Bechyně Gate | Statement: [Tábor, hasLandmark, Bechyně Gate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bechyně Gate
Context triple: [Tábor, hasLandmark, Bechyně Gate]
  • A. The Gate
    The Gate is a 1987 supernatural horror film about children who accidentally unleash demonic forces from a mysterious hole in their backyard.
  • B. The Gate
    The Gate is a 1910 novel by Japanese author Natsume Sōseki that quietly explores themes of guilt, marriage, and spiritual searching in Meiji-era Japan.
  • C. the Gate
    The Gate is a title of the Báb, the 19th-century Persian religious figure who founded Bábism and prepared the way for the Bahá'í Faith.
  • D. Thunder Gate
    Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
  • E. Crossgates
    Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
  • 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: Bechyně Gate
Triple: [Tábor, hasLandmark, Bechyně Gate]
Generated description
Bechyně Gate is a historic medieval city gate and one of the best-preserved architectural landmarks in the Czech town of Tábor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bechyně Gate
Target entity description: Bechyně Gate is a historic medieval city gate and one of the best-preserved architectural landmarks in the Czech town of Tábor.
  • A. The Gate
    The Gate is a 1987 supernatural horror film about children who accidentally unleash demonic forces from a mysterious hole in their backyard.
  • B. The Gate
    The Gate is a 1910 novel by Japanese author Natsume Sōseki that quietly explores themes of guilt, marriage, and spiritual searching in Meiji-era Japan.
  • C. the Gate
    The Gate is a title of the Báb, the 19th-century Persian religious figure who founded Bábism and prepared the way for the Bahá'í Faith.
  • D. Thunder Gate
    Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
  • E. Crossgates
    Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547f9a1c81908f54c58a116a8446 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655801cac8190b1f9a72f8fed0399 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f65799ca588190b9f7a07f5c1a842c completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.