Triple

T4180320
Position Surface form Disambiguated ID Type / Status
Subject SS Canberra E86577 entity
Predicate scrappedAt P16228 FINISHED
Object Alang
Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
 E419966 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: Alang | Statement: [SS Canberra, scrappedAt, Alang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alang
Context triple: [SS Canberra, scrappedAt, Alang]
  • A. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • B. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • C. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • D. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • E. Galang
    Galang is an island in Indonesia’s Riau Islands province, historically known for hosting a Vietnamese refugee camp during the late 20th century.
  • 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: Alang
Triple: [SS Canberra, scrappedAt, Alang]
Generated description
Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alang
Target entity description: Alang is a coastal town in Gujarat, India, internationally known as one of the world’s largest ship-breaking and recycling yards.
  • A. Aluta
    Aluta is the historical name of the Olt River, a major waterway flowing through central Romania.
  • B. Alor
    Alor is an island in eastern Indonesia known for its rugged terrain, rich marine biodiversity, and traditional indigenous cultures.
  • C. Ala
    Ala is the Igbo earth goddess and principal deity of morality, fertility, and the underworld in traditional Igbo religion.
  • D. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • E. Galang
    Galang is an island in Indonesia’s Riau Islands province, historically known for hosting a Vietnamese refugee camp during the late 20th century.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0302972c819082f6e1938ed417c4 completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589f89f4481909f95d3ca915bac18 completed March 14, 2026, 4:16 p.m.
NEDg Description generation batch_69b58e0446d48190a1fd54bcc72af026 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e8d57cc8190a823a7cf3a3f0cdf completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:45 p.m.