Triple

T16936036
Position Surface form Disambiguated ID Type / Status
Subject Lycian Way E410828 entity
Predicate passesThrough P225 FINISHED
Object Tekirova
Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
E1240877 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: Tekirova | Statement: [Lycian Way, passesThrough, Tekirova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekirova
Context triple: [Lycian Way, passesThrough, Tekirova]
  • A. Tirokiaba
    Tirokiaba is a settlement located on Santa Isabel Island in the Solomon Islands.
  • B. Tekov
    Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • C. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • D. Munirka
    Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
  • E. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • 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: Tekirova
Triple: [Lycian Way, passesThrough, Tekirova]
Generated description
Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tekirova
Target entity description: Tekirova is a coastal resort village in Turkey’s Antalya Province, known for its beaches, proximity to Mount Tahtalı, and location along the popular Lycian Way hiking trail.
  • A. Tirokiaba
    Tirokiaba is a settlement located on Santa Isabel Island in the Solomon Islands.
  • B. Tekov
    Tekov is a historical region in southern Slovakia, traditionally centered around the town of Levice and known for its medieval settlements and agricultural landscape.
  • C. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • D. Munirka
    Munirka is a densely populated residential and commercial neighborhood in South Delhi, known for its urban village character, proximity to major institutions, and extensive rental housing.
  • E. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • 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_69d886c886688190967be07322597ac9 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cf2a05f48190a0a8ac86985f4000 completed April 18, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfe2d4f48190b965b6c0a3cc0125 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d067a6348190bdce8ae810d02741 completed May 10, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_6a00d1366f4c8190b5627f67402d96a0 completed May 10, 2026, 6:40 p.m.
Created at: April 10, 2026, 5:30 a.m.