Triple
T6288697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kythira |
E140961
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Kithira
Kithira is a Greek island in the Ionian Sea known for its picturesque villages, beaches, and mythological association with the goddess Aphrodite.
|
E581076
|
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: Kithira | Statement: [Kythira, alternativeName, Kithira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kithira Context triple: [Kythira, alternativeName, Kithira]
-
A.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
B.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
C.
Malinalli
Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
-
D.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
E.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
- 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: Kithira Triple: [Kythira, alternativeName, Kithira]
Generated description
Kithira is a Greek island in the Ionian Sea known for its picturesque villages, beaches, and mythological association with the goddess Aphrodite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kithira Target entity description: Kithira is a Greek island in the Ionian Sea known for its picturesque villages, beaches, and mythological association with the goddess Aphrodite.
-
A.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
B.
Shivini
Shivini is the Urartian sun god, often associated with light, justice, and royal authority in the ancient Kingdom of Urartu.
-
C.
Malinalli
Malinalli, better known as La Malinche, was a Nahua woman who served as interpreter, advisor, and intermediary for Hernán Cortés during the Spanish conquest of the Aztec Empire.
-
D.
Sabya
Sabya is a city in southwestern Saudi Arabia located within the Jazan Region near the Red Sea coast.
-
E.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064182f60819093a8313e1dbf2763 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c519794a9481909a72a8dcdfaf41f8 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51ad3d61c819087905cee97b73a40 |
completed | March 26, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51b840e6481908d84c50e40db296e |
completed | March 26, 2026, 11:41 a.m. |
Created at: March 22, 2026, 4:26 p.m.