Triple
T22406296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugambri |
E553887
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Tencteri |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tencteri | Statement: [Sugambri, adjacentTo, Tencteri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tencteri Context triple: [Sugambri, adjacentTo, Tencteri]
-
A.
Tencteri
chosen
The Tencteri were an ancient Germanic tribe known from Roman sources for inhabiting the region along the lower Rhine and participating in conflicts with the Roman Empire.
-
B.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
C.
Infraworld
Infraworld is a mysterious, otherworldly realm often depicted as a hidden or parallel dimension linked to the living world.
-
D.
Tustar
Tustar is an ancient city in southwestern Iran, historically significant as a center of early Islamic scholarship and Sufi tradition.
-
E.
Teramulus
Teramulus is a genus of small silverside fishes within the family Atherinidae, native to freshwater and coastal waters of Madagascar.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b835e88190a388e19577df771e |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.