Triple
T10308968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cycladic culture |
E241835
|
entity |
| Predicate | hasNotableSite |
P2462
|
FINISHED |
| Object |
Keros
Keros is a small Aegean island in the Cyclades known as a major Early Bronze Age ritual and archaeological center, especially for its Cycladic figurines and sanctuary remains.
|
E855588
|
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: Keros | Statement: [Cycladic culture, hasNotableSite, Keros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keros Context triple: [Cycladic culture, hasNotableSite, Keros]
-
A.
Kerium
Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
-
B.
Ker
Ker is a variant form of the surname Kerr, which is of Scottish origin and historically associated with Border Reiver families.
-
C.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
D.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
E.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
- 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: Keros Triple: [Cycladic culture, hasNotableSite, Keros]
Generated description
Keros is a small Aegean island in the Cyclades known as a major Early Bronze Age ritual and archaeological center, especially for its Cycladic figurines and sanctuary remains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keros Target entity description: Keros is a small Aegean island in the Cyclades known as a major Early Bronze Age ritual and archaeological center, especially for its Cycladic figurines and sanctuary remains.
-
A.
Kerium
Kerium is a specialized hair and scalp care product line from La Roche-Posay designed to address issues such as dandruff, sensitivity, and hair thinning.
-
B.
Ker
Ker is a variant form of the surname Kerr, which is of Scottish origin and historically associated with Border Reiver families.
-
C.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
D.
Kera
Kera is a regional dialect of the Mundari language spoken by sections of the Munda ethnic community in eastern India.
-
E.
Kehler
Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d3291d848190a397356ad8058310 |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d7154b88190a0ae1dfa029b125e |
completed | April 9, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.