Triple

T27172714
Position Surface form Disambiguated ID Type / Status
Subject 1996 Khobar Towers bombing E682961 entity
Predicate alsoKnownAs P39 FINISHED
Object Khobar Towers attack
The Khobar Towers attack was a 1996 terrorist truck bombing against a U.S. military housing complex in Dhahran, Saudi Arabia, that killed 19 American servicemen and injured hundreds.
 E1763110 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: Khobar Towers attack | Statement: [1996 Khobar Towers bombing, alsoKnownAs, Khobar Towers attack]
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: Khobar Towers attack
Triple: [1996 Khobar Towers bombing, alsoKnownAs, Khobar Towers attack]
Generated description
The Khobar Towers attack was a 1996 terrorist truck bombing against a U.S. military housing complex in Dhahran, Saudi Arabia, that killed 19 American servicemen and injured hundreds.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62549039c8190af7159d07416c985 completed May 2, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a126262bf50819096fdb1bb53c81ecb completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a12675ea06c8190959d0f58dd3bf1a9 completed May 24, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_6a1267c2c01c8190a70b120ca4c73d29 completed May 24, 2026, 2:51 a.m.
Created at: April 27, 2026, 9:24 a.m.