Triple

T11321159
Position Surface form Disambiguated ID Type / Status
Subject Malad E268095 entity
Predicate hasResidentialArea P9064 FINISHED
Object Orlem
Orlem is a prominent residential neighborhood in the Malad suburb of Mumbai, known for its churches, schools, and bustling local markets.
E919048 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: Orlem | Statement: [Malad, hasResidentialArea, Orlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orlem
Context triple: [Malad, hasResidentialArea, Orlem]
  • A. Orlamünde
    Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
  • B. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • C. Gorcumer
    A Gorcumer is a resident or native of the Dutch city of Gorinchem.
  • D. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • E. Dehéries
    Dehéries is a small commune in the Nord department of northern France.
  • 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: Orlem
Triple: [Malad, hasResidentialArea, Orlem]
Generated description
Orlem is a prominent residential neighborhood in the Malad suburb of Mumbai, known for its churches, schools, and bustling local markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orlem
Target entity description: Orlem is a prominent residential neighborhood in the Malad suburb of Mumbai, known for its churches, schools, and bustling local markets.
  • A. Orlamünde
    Orlamünde is a small historic town in the German state of Thuringia, situated along the Saale River.
  • B. Nattheim
    Nattheim is a municipality in the Heidenheim district of Baden-Württemberg in southern Germany.
  • C. Gorcumer
    A Gorcumer is a resident or native of the Dutch city of Gorinchem.
  • D. Flerzheim
    Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • E. Dehéries
    Dehéries is a small commune in the Nord department of northern France.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9dff37081909622623e66e17ccd completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525e2549081909ec99e4c7006fd66 completed April 19, 2026, 6:58 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531b079708190ac9e19127d36a848 completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.