Triple

T3187068
Position Surface form Disambiguated ID Type / Status
Subject Carmelit E66722 entity
Predicate terminusStation P15150 FINISHED
Object Gan HaEm station
Gan HaEm station is the western terminal stop of Haifa’s Carmelit underground funicular railway, serving the Gan HaEm (Mother’s Garden) area on Mount Carmel.
 E334938 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: Gan HaEm station | Statement: [Carmelit, terminusStation, Gan HaEm station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gan HaEm station
Context triple: [Carmelit, terminusStation, Gan HaEm station]
  • A. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • E. Beomeosa Station
    Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
  • 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: Gan HaEm station
Triple: [Carmelit, terminusStation, Gan HaEm station]
Generated description
Gan HaEm station is the western terminal stop of Haifa’s Carmelit underground funicular railway, serving the Gan HaEm (Mother’s Garden) area on Mount Carmel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gan HaEm station
Target entity description: Gan HaEm station is the western terminal stop of Haifa’s Carmelit underground funicular railway, serving the Gan HaEm (Mother’s Garden) area on Mount Carmel.
  • A. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • B. Sasang Station
    Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
  • C. Askim Station
    Askim Station is a railway station serving the town of Askim in Viken county, Norway, on the Eastern Østfold Line.
  • D. Myeongnyun Station
    Myeongnyun Station is a metro station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • E. Beomeosa Station
    Beomeosa Station is a subway station in Busan, South Korea, serving as a key access point to the nearby Beomeosa Temple and surrounding Geumjeong District area.
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e279288190843837751e852c9e completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b8285388190bc47264bd1028ab3 completed March 12, 2026, 5:13 a.m.
NEDg Description generation batch_69b24c9f4488819096b33baa4f35deaa completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d4f4b1c819094d2073c9889fecf completed March 12, 2026, 5:21 a.m.
Created at: March 8, 2026, 3:06 p.m.