Triple

T24885907

Position	Surface form	Disambiguated ID	Type / Status
Subject	Battle of the Komandorski Islands	`E622849`	entity
Predicate	USShipInvolved	`P680`	FINISHED
Object	USS Coghlan USS Coghlan was a U.S. Navy destroyer that served in the Pacific during World War II, participating in key engagements against Japanese forces.	`E1772478`	NE FINISHED

How this triple was built (3 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: USS Coghlan | Statement: [Battle of the Komandorski Islands, USShipInvolved, USS Coghlan]

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: USS Coghlan
Triple: [Battle of the Komandorski Islands, USShipInvolved, USS Coghlan]

Generated description

USS Coghlan was a U.S. Navy destroyer that served in the Pacific during World War II, participating in key engagements against Japanese forces.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: USShipInvolved
Context triple: [Battle of the Komandorski Islands, USShipInvolved, USS Coghlan]

A. aircraftCarrierInvolved
Indicates that an aircraft carrier participates in, is present at, or is otherwise directly involved in the specified event or situation.
B. numberOfShipsInvolved
Indicates the total count of ships that participated or were involved in a specified event or situation.
C. shipInvolved
Indicates that a ship participates in, is associated with, or plays a role in a specified event or situation.
D. involvedShipUnitedStates chosen
Indicates that a ship involved in an event, action, or relationship is associated with or belongs to the United States.
E. shipTypeInvolved
Indicates that a particular type or class of ship is involved or participates in a specified event, situation, or relationship.
F. None of above.

Provenance (6 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_69e2fac4aa848190b3446a3922cec150`	completed	April 18, 2026, 3:30 a.m.
NER	Named-entity recognition	`batch_69f464b4c9b0819085daa00c7c3b8b76`	completed	May 1, 2026, 8:30 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12b20bf0f08190b3ccc996dec79caa`	completed	May 24, 2026, 8:08 a.m.
NEDg	Description generation	`batch_6a12b40925b8819098162afa1c81fe6e`	completed	May 24, 2026, 8:17 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12b474faec8190babc706f978613ab`	completed	May 24, 2026, 8:19 a.m.
PD	Predicate disambiguation	`batch_69f45cf017a88190b4985b11159c907d`	completed	May 1, 2026, 7:57 a.m.

Created at: April 18, 2026, 5:25 a.m.