Triple
T14014957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swaecation |
E337179
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Offshore
Offshore is a song featured as part of the musical project Swaecation.
|
E1074503
|
NE FINISHED |
How this triple was built (4 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: Offshore | Statement: [Swaecation, hasPart, Offshore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Offshore Context triple: [Swaecation, hasPart, Offshore]
-
A.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
B.
The High Seas
"The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
-
C.
Active Oceans
Active Oceans is a marine-themed exhibit at Blackpool Zoo featuring aquatic animals and ocean-related displays for visitors.
-
D.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
E.
Shore
Shore is a surname most prominently associated with Canadian composer Howard Shore, renowned for his film scores including those for "The Lord of the Rings" trilogy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Offshore Triple: [Swaecation, hasPart, Offshore]
Generated description
Offshore is a song featured as part of the musical project Swaecation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Offshore Target entity description: Offshore is a song featured as part of the musical project Swaecation.
-
A.
High Seas
High Seas is a Spanish mystery drama television series set on a luxury ocean liner in the 1940s, following a string of murders and dark family secrets uncovered during its transatlantic voyages.
-
B.
The High Seas
"The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
-
C.
Active Oceans
Active Oceans is a marine-themed exhibit at Blackpool Zoo featuring aquatic animals and ocean-related displays for visitors.
-
D.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
-
E.
Shore
Shore is a surname most prominently associated with Canadian composer Howard Shore, renowned for his film scores including those for "The Lord of the Rings" trilogy.
- F. None of above. chosen
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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbb4df903481908a760e6d7f47b15b |
completed | May 6, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb5a9abd88190b06abae5c7eff647 |
completed | May 6, 2026, 9:42 p.m. |
Created at: April 9, 2026, 10:19 p.m.