Triple
T10229450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torgos tracheliotos |
E243301
|
entity |
| Predicate | genus |
P87
|
FINISHED |
| Object |
Torgos
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
|
E851301
|
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: Torgos | Statement: [Torgos tracheliotos, genus, Torgos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torgos Context triple: [Torgos tracheliotos, genus, Torgos]
-
A.
Mutayr
Mutayr is a prominent Arabian tribal confederation historically rooted in the Najd region of central Arabia.
-
B.
Tarschys
Tarschys is a Swedish surname most notably associated with political scientist and former Secretary General of the Council of Europe Daniel Tarschys.
-
C.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
-
D.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
-
E.
Tyurin
Tyurin is the hard-edged yet pragmatic foreman of Ivan Denisovich’s work gang in Solzhenitsyn’s novel, embodying both the brutality and rough solidarity of the Soviet labor camp system.
- 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: Torgos Triple: [Torgos tracheliotos, genus, Torgos]
Generated description
Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torgos Target entity description: Torgos is a genus of large Old World vultures best known for including the lappet-faced vulture.
-
A.
Mutayr
Mutayr is a prominent Arabian tribal confederation historically rooted in the Najd region of central Arabia.
-
B.
Tarschys
Tarschys is a Swedish surname most notably associated with political scientist and former Secretary General of the Council of Europe Daniel Tarschys.
-
C.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
-
D.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
-
E.
Tyurin
Tyurin is the hard-edged yet pragmatic foreman of Ivan Denisovich’s work gang in Solzhenitsyn’s novel, embodying both the brutality and rough solidarity of the Soviet labor camp system.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1fcb1d081908173033594a6bfc9 |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f73610fc8190965c4e45a9deeac6 |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fa2ea97081908395048218c0592b |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcb5dc4c8190944a423a9d16a4b8 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:19 a.m.