Triple

T2489308
Position Surface form Disambiguated ID Type / Status
Subject Ben-Gurion Airport E52001 entity
Predicate IATAcode P418 FINISHED
Object TLV
TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
 E272663 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: TLV | Statement: [Ben-Gurion Airport, IATAcode, TLV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TLV
Context triple: [Ben-Gurion Airport, IATAcode, TLV]
  • A. TLB
    TLB is a popular paraphrased English version of the Bible aimed at making the text easily understandable in contemporary language.
  • B. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • C. TLO
    TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
  • D. taraq tamga
    Taraq tamga is the traditional trident-like tamga symbol of the Crimean Tatars, prominently featured on their national flag and emblem.
  • E. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • 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: TLV
Triple: [Ben-Gurion Airport, IATAcode, TLV]
Generated description
TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TLV
Target entity description: TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
  • A. TLB
    TLB is a popular paraphrased English version of the Bible aimed at making the text easily understandable in contemporary language.
  • B. TLF
    TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
  • C. TLO
    TLO, also known as Dario Wünsch, is a German professional StarCraft II player renowned for his creative strategies and long-standing presence in the competitive scene.
  • D. taraq tamga
    Taraq tamga is the traditional trident-like tamga symbol of the Crimean Tatars, prominently featured on their national flag and emblem.
  • E. TollTag
    TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd17b7a048190bcc8f0a66514a052 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f8ee974819082a2a29f8b72d131 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af201e1a748190905bb221fc5dd01e completed March 9, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69af20ad25588190b8e26e82baba731d completed March 9, 2026, 7:34 p.m.
Created at: March 6, 2026, 9:45 p.m.