Triple
T539667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feodosia |
E12601
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Caffa
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
|
E67474
|
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: Caffa | Statement: [Feodosia, historicalName, Caffa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caffa Context triple: [Feodosia, historicalName, Caffa]
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Mezzegra
Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
-
C.
Marsala
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
-
D.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
E.
Samborondón
Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
- 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: Caffa Triple: [Feodosia, historicalName, Caffa]
Generated description
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caffa Target entity description: Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
-
A.
Mocha
Mocha is a popular JavaScript test framework used primarily for running unit and integration tests in Node.js and browser-based applications.
-
B.
Mezzegra
Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
-
C.
Marsala
Marsala is a coastal city in western Sicily, Italy, best known for producing the fortified wine that shares its name.
-
D.
Comino
Comino is a small, sparsely populated Maltese island in the Mediterranean Sea, best known for its clear waters and the popular Blue Lagoon.
-
E.
Samborondón
Samborondón is a rapidly growing, affluent canton and town in coastal Ecuador, located across the river from Guayaquil and known for its upscale residential and commercial developments.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a496dd31c88190b3114805aa31931c |
completed | March 1, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c671eaac8190a4bc731a02a5b0e8 |
completed | March 1, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69a4c7f3279c8190b926f831f5371c2e |
completed | March 1, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4c88145908190b590b7efde21677c |
completed | March 1, 2026, 11:15 p.m. |
Created at: March 1, 2026, 7:32 p.m.