Triple
T30313084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Sampson (DD-63) |
E770976
|
entity |
| Predicate | homeportDuringWWI |
P21914
|
FINISHED |
| Object |
Queenstown, Ireland
Queenstown, Ireland—now known as Cobh—is a historic port town in County Cork that served as a major naval base and transatlantic departure point, especially prominent during World War I.
|
E1914743
|
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: Queenstown, Ireland | Statement: [USS Sampson (DD-63), homeportDuringWWI, Queenstown, Ireland]
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: Queenstown, Ireland Triple: [USS Sampson (DD-63), homeportDuringWWI, Queenstown, Ireland]
Generated description
Queenstown, Ireland—now known as Cobh—is a historic port town in County Cork that served as a major naval base and transatlantic departure point, especially prominent during World War I.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeportDuringWWI Context triple: [USS Sampson (DD-63), homeportDuringWWI, Queenstown, Ireland]
-
A.
homeportDuringWar
chosen
Indicates that an entity served as the designated home port or primary base for another entity during a period of war.
-
B.
homeportDuringColdWar
Indicates that one entity served as the designated home port of the other during the Cold War period.
-
C.
homePortBeforeWorldWarI
Indicates that one entity served as the home port of the other entity prior to the start of World War I.
-
D.
homePortBeforeWWII
Indicates that one entity served as the home port of the other prior to the start of World War II.
-
E.
homeportAsNOAA
Indicates that a vessel’s designated home port is assigned or recognized specifically as a NOAA (National Oceanic and Atmospheric Administration) home port.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816ceb688190b2e5f01205f3c550 |
completed | May 2, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a27989f03dc8190ae2e8f88f754d2e3 |
completed | June 9, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_6a2799c7c1f8819082c3c849d2647821 |
completed | June 9, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a279a7fdfc88190b9aa18cd3b147f7e |
completed | June 9, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:51 p.m.