Triple
T3035968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lamb |
E83008
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Fidra |
E12804
|
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: Fidra | Statement: [The Lamb, nearbyIsland, Fidra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fidra Context triple: [The Lamb, nearbyIsland, Fidra]
-
A.
Fidra
chosen
Fidra is a small uninhabited island off the coast of East Lothian, Scotland, known for its lighthouse, seabird colonies, and as an inspiration for Robert Louis Stevenson.
-
B.
Freirina
Freirina is a small town and commune in northern Chile known for its agricultural activity and historic architecture within the Atacama Region.
-
C.
Chersina
Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
-
D.
Sulmo
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
-
E.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2bb60c8190b1721f832f2581a1 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f86cfcac81908122f1afd79ce29a |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:01 p.m.