Triple
T3272428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandane of Media |
E68679
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Median
Median is an ancient Northwestern Iranian language once spoken in the region of Media, in what is now northwestern Iran.
|
E342725
|
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: Median | Statement: [Mandane of Media, language, Median]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Median Context triple: [Mandane of Media, language, Median]
-
A.
Mediana
Mediana is a late Roman imperial villa and archaeological complex near Niš, Serbia, notable as the birthplace estate of Emperor Constantine the Great.
-
B.
Median forces
The Median forces were the ancient military troops of the Median Empire that played a key role in toppling the Neo-Assyrian Empire, including the sack of Nineveh in 612 BCE.
-
C.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
D.
Center
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
-
E.
Middelaar
Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
- 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: Median Triple: [Mandane of Media, language, Median]
Generated description
Median is an ancient Northwestern Iranian language once spoken in the region of Media, in what is now northwestern Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Median Target entity description: Median is an ancient Northwestern Iranian language once spoken in the region of Media, in what is now northwestern Iran.
-
A.
Mediana
Mediana is a late Roman imperial villa and archaeological complex near Niš, Serbia, notable as the birthplace estate of Emperor Constantine the Great.
-
B.
Median forces
The Median forces were the ancient military troops of the Median Empire that played a key role in toppling the Neo-Assyrian Empire, including the sack of Nineveh in 612 BCE.
-
C.
Mitte
Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
-
D.
Center
Center is the common shorthand term used in aviation to refer to an Air Route Traffic Control Center, which manages en route air traffic over large regions.
-
E.
Middelaar
Middelaar is a village in the Dutch province of Limburg, situated near the river Maas and close to the border with Germany.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff6308881908886a44804a0bb09 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f0793e08190af55ee16e5091451 |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c47e908190b5be5b33da358ade |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:10 p.m.