Triple
T8925300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cohors I Tungrorum |
E212524
|
entity |
| Predicate | ethnicComposition |
P1898
|
FINISHED |
| Object |
Tungrian
The Tungrians were an ancient Germanic people from the region of modern-day Belgium who served as auxiliaries in the Roman army and gave their name to the civitas Tungrorum.
|
E766714
|
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: Tungrian | Statement: [Cohors I Tungrorum, ethnicComposition, Tungrian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tungrian Context triple: [Cohors I Tungrorum, ethnicComposition, Tungrian]
-
A.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
B.
Ripuarian
Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
-
C.
Turiysk
Turiysk is a small town in western Ukraine known for its historical roots and location within the Volyn region.
-
D.
Dargin
Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
-
E.
Tangut
Tangut is an extinct Tibeto-Burman language once used in the Western Xia dynasty, best known today for its large and complex logographic writing 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: Tungrian Triple: [Cohors I Tungrorum, ethnicComposition, Tungrian]
Generated description
The Tungrians were an ancient Germanic people from the region of modern-day Belgium who served as auxiliaries in the Roman army and gave their name to the civitas Tungrorum.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tungrian Target entity description: The Tungrians were an ancient Germanic people from the region of modern-day Belgium who served as auxiliaries in the Roman army and gave their name to the civitas Tungrorum.
-
A.
Segestani
The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
-
B.
Ripuarian
Ripuarian is a group of closely related West Central German dialects spoken primarily in the Cologne region and surrounding areas along the Rhine.
-
C.
Turiysk
Turiysk is a small town in western Ukraine known for its historical roots and location within the Volyn region.
-
D.
Dargin
Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
-
E.
Tangut
Tangut is an extinct Tibeto-Burman language once used in the Western Xia dynasty, best known today for its large and complex logographic writing 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66700fb48190874563e535f20437 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba58e9ec81909141c516d05ac790 |
completed | April 3, 2026, 1:02 p.m. |
| NEDg | Description generation | batch_69cfbade9330819096d4b0eeacdad6da |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbec2b8888190a0390168fdcef05f |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:57 p.m.