Triple
T2314899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djedefre |
E51040
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Setka
Setka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre, known from statues and inscriptions found at Abu Rawash.
|
E255750
|
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: Setka | Statement: [Djedefre, child, Setka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Setka Context triple: [Djedefre, child, Setka]
-
A.
Severodvinsk
Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
-
B.
Severomorsk
Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
-
C.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
-
D.
Ust-Luga
Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
-
E.
Kurilsk
Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
- 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: Setka Triple: [Djedefre, child, Setka]
Generated description
Setka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre, known from statues and inscriptions found at Abu Rawash.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Setka Target entity description: Setka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre, known from statues and inscriptions found at Abu Rawash.
-
A.
Severodvinsk
Severodvinsk is a Russian port city on the White Sea, known as a major center for the construction and maintenance of nuclear submarines.
-
B.
Severomorsk
Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
-
C.
Tuapse
Tuapse is a Black Sea port town in southern Russia known as a seaside resort and industrial center within Krasnodar Krai.
-
D.
Ust-Luga
Ust-Luga is a major Russian Baltic Sea port town that serves as a key cargo and energy export hub for the Leningrad Oblast region.
-
E.
Kurilsk
Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61d41f88190983f8947667b4c7a |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896236f08190b3874854279bbdf7 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8b0b27cc819099a5df60d678d3e2 |
completed | March 9, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b79633881908acf94f8db389c0f |
completed | March 9, 2026, 8:57 a.m. |
Created at: March 4, 2026, 7:49 p.m.