Triple

T9790664
Position Surface form Disambiguated ID Type / Status
Subject Santhome E237596 entity
Predicate adjacentTo P224 FINISHED
Object Luz
Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
 E821889 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: Luz | Statement: [Santhome, adjacentTo, Luz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luz
Context triple: [Santhome, adjacentTo, Luz]
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. Luci
    Luci is a diminutive form of the given name Luciana, often used as a familiar or affectionate nickname.
  • C. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • D. Luce
    Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
  • E. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • 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: Luz
Triple: [Santhome, adjacentTo, Luz]
Generated description
Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luz
Target entity description: Luz is a historic neighborhood in Chennai, India, known for its cultural landmarks and proximity to the coastal Santhome area.
  • A. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • B. Luci
    Luci is a diminutive form of the given name Luciana, often used as a familiar or affectionate nickname.
  • C. Luce
    Luce is a surname most notably associated with Henry Luce, the influential American magazine magnate and co-founder of Time Inc.
  • D. Luce
    Luce is the abbreviated name of Italy’s historic Istituto Nazionale Luce, a state film and newsreel institute known for producing and distributing documentary and propaganda films.
  • E. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda215b3108190a897552e1dc91cc4 completed April 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43141cc81908c45a3f5d5103564 completed April 5, 2026, 2:08 a.m.
NEDg Description generation batch_69d1c4b07cec8190a2e6c49efad3a841 completed April 5, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69d1c547a9808190b96face03c4203b0 completed April 5, 2026, 2:13 a.m.
Created at: March 30, 2026, 8:28 p.m.