Triple
T934196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demeter |
E20158
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Sito
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
|
E109452
|
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: Sito | Statement: [Demeter, epithet, Sito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sito Context triple: [Demeter, epithet, Sito]
-
A.
Sitia
Sitia is a coastal town and port in eastern Crete, Greece, known for its relaxed atmosphere, nearby archaeological sites, and surrounding beaches.
-
B.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
C.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
D.
Ermita
Ermita is a historic commercial, cultural, and civic district in Manila, Philippines, known for its government institutions, universities, museums, and tourist-oriented businesses.
-
E.
Carlini Base
Carlini Base is an Argentine Antarctic research station located on the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and climate science.
- 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: Sito Triple: [Demeter, epithet, Sito]
Generated description
Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sito Target entity description: Sito is an epithet of the Greek goddess Demeter that emphasizes her role as the provider of grain and sustenance.
-
A.
Sitia
Sitia is a coastal town and port in eastern Crete, Greece, known for its relaxed atmosphere, nearby archaeological sites, and surrounding beaches.
-
B.
Sitra
Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
-
C.
Logudoro
Logudoro is a historical-cultural region in northern Sardinia known for its distinctive Sardinian dialect, medieval heritage, and rural landscapes.
-
D.
Ermita
Ermita is a historic commercial, cultural, and civic district in Manila, Philippines, known for its government institutions, universities, museums, and tourist-oriented businesses.
-
E.
Carlini Base
Carlini Base is an Argentine Antarctic research station located on the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and climate science.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b363ea5c819098ec1d87f785bad4 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f12e48f88190bd0aac156a76f0b9 |
completed | March 4, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f1a2688881908524f10350137f4f |
completed | March 4, 2026, 8:47 a.m. |
Created at: March 1, 2026, 7:40 p.m.