Triple

T23821651
Position Surface form Disambiguated ID Type / Status
Subject Battle for Point Salines E589252 entity
Predicate alsoKnownAs P39 FINISHED
Object Battle of Point Salines
The Battle of Point Salines was a key engagement during the 1983 U.S.-led invasion of Grenada, centered on securing the island’s main airfield from Grenadian and Cuban forces.
E1606849 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: Battle of Point Salines | Statement: [Battle for Point Salines, alsoKnownAs, Battle of Point Salines]
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: Battle of Point Salines
Triple: [Battle for Point Salines, alsoKnownAs, Battle of Point Salines]
Generated description
The Battle of Point Salines was a key engagement during the 1983 U.S.-led invasion of Grenada, centered on securing the island’s main airfield from Grenadian and Cuban forces.

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_69e25d18619081909c7fb89d8926f14a completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c7af4d4481908095348fae9e54f4 completed April 29, 2026, 8:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f699864788190b35a62768c484298 completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6d3f59308190a05f96b74183c51f completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6dc831c08190b55834bbdd1d85a3 completed May 21, 2026, 8:40 p.m.
Created at: April 17, 2026, 7:59 p.m.