Triple

T30799214
Position Surface form Disambiguated ID Type / Status
Subject Lidra Caddesi E784318 entity
Predicate crossesLine P50696 FINISHED
Object Green Line
The Green Line is the demarcation zone that divides the city of Nicosia and the island of Cyprus between the Greek Cypriot and Turkish Cypriot communities.
 E478800 NE FINISHED

How this triple was built (3 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: Green Line | Statement: [Lidra Caddesi, crossesLine, Green Line]
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: Green Line
Triple: [Lidra Caddesi, crossesLine, Green Line]
Generated description
The Green Line is the demarcation zone that divides the city of Nicosia and the island of Cyprus between the Greek Cypriot and Turkish Cypriot communities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: crossesLine
Context triple: [Lidra Caddesi, crossesLine, Green Line]
  • A. hasCrossingPoint chosen
    Indicates that two or more entities intersect or share at least one common point in space or along their paths.
  • B. crossesNear
    Indicates that one entity passes across the path or area of another entity at a location that is close to, but not directly intersecting, the other entity.
  • C. crossesBetween
    Indicates that one entity passes from one side of a second entity to the other, traversing the space between two reference points or boundaries associated with that second entity.
  • D. hadCrossingPoints
    Indicates that two entities intersected or overlapped at one or more specific points in space or time.
  • E. crossesSectionOf
    Indicates that one entity passes through or over a specific segment or portion of another entity.
  • F. None of above.

Provenance (6 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_69f224b3a7ec819096939414d103e31e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b0b19c148190b0a248e5a0a576fe completed June 10, 2026, 12:32 a.m.
NEDg Description generation batch_6a28b1ed9b0c8190986159e58593fadf completed June 10, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a28b2b51afc81908cae8756f6d9b3a1 completed June 10, 2026, 12:41 a.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
Created at: April 29, 2026, 8:42 p.m.