Triple

T8159384
Position Surface form Disambiguated ID Type / Status
Subject Nal Airport E190534 entity
Predicate near P350 FINISHED
Object Nal
Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
 E715262 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: Nal | Statement: [Nal Airport, near, Nal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nal
Context triple: [Nal Airport, near, Nal]
  • A. Nal
    Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • B. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • C. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • D. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • E. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • 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: Nal
Triple: [Nal Airport, near, Nal]
Generated description
Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nal
Target entity description: Nal is a locality in Rajasthan, India, known primarily for hosting Nal Airport, which serves the nearby city of Bikaner.
  • A. Nal
    Nal is an entity or individual that serves as a point of comparison to Amri, suggesting they share similar characteristics, roles, or contexts.
  • B. Nalik
    Nalik is an Austronesian language spoken by a small community in New Ireland, Papua New Guinea.
  • C. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • D. Nol
    Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • E. Naul
    Naul is a small rural village in north County Dublin, Ireland, known for its scenic countryside and historic features such as The Seamus Ennis Arts Centre.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf21ab2c8190af23b4a3a4bdb543 completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc24c5684819093a4f58616122675 completed April 1, 2026, 6:59 a.m.
NED2 Entity disambiguation (via description) batch_69ccc38e85bc8190b0f4b2435a385f47 completed April 1, 2026, 7:04 a.m.
Created at: March 30, 2026, 5:38 p.m.