Triple

T30213123
Position Surface form Disambiguated ID Type / Status
Subject Gaza International Airport E768123 entity
Predicate servedAirlines P35742 FINISHED
Object Palestinian Airlines
Palestinian Airlines was the flag carrier of the Palestinian Authority, operating regional passenger services primarily based out of Gaza before suspending operations amid ongoing political and security challenges.
E1903463 NE FINISHED

How this triple was built (2 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: Palestinian Airlines | Statement: [Gaza International Airport, servedAirlines, Palestinian Airlines]
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: Palestinian Airlines
Triple: [Gaza International Airport, servedAirlines, Palestinian Airlines]
Generated description
Palestinian Airlines was the flag carrier of the Palestinian Authority, operating regional passenger services primarily based out of Gaza before suspending operations amid ongoing political and security challenges.

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_69f2247fd8b8819087fcf83cb7a05eb8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ff24e3c8190bef4ca0707963615 completed May 2, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2758eb1ab88190981060de27a4fb20 completed June 9, 2026, 12:06 a.m.
NEDg Description generation batch_6a275a8244788190837ad72957f937db completed June 9, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a275b94cf908190a828d9b24d444b01 completed June 9, 2026, 12:17 a.m.
Created at: April 29, 2026, 7:33 p.m.