Triple
T3175780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herodian dynasty |
E66461
|
entity |
| Predicate | appliesToJurisdiction |
P82
|
FINISHED |
| Object |
Iturea
Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
|
E334798
|
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: Iturea | Statement: [Herodian dynasty, appliesToJurisdiction, Iturea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iturea Context triple: [Herodian dynasty, appliesToJurisdiction, Iturea]
-
A.
Ibura
Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
D.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
E.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
- 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: Iturea Triple: [Herodian dynasty, appliesToJurisdiction, Iturea]
Generated description
Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iturea Target entity description: Iturea was an ancient region in the Levant, inhabited by the Itureans and later incorporated into various Hellenistic and Roman client kingdoms, including those ruled by the Herodian dynasty.
-
A.
Ibura
Ibura is a populous residential neighborhood and district located in the southern zone of Recife, Brazil.
-
B.
Isanzu
Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
-
C.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
D.
Uruca
Uruca is a district of San José, Costa Rica, known as an important industrial and commercial area within the capital.
-
E.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada671e6848190a683eec1519b9268 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b7076d48190b614e4b48965e0b4 |
completed | March 12, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69b24c9f4488819096b33baa4f35deaa |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d4f4b1c819094d2073c9889fecf |
completed | March 12, 2026, 5:21 a.m. |
Created at: March 8, 2026, 3:06 p.m.