Triple
T5873962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubii |
E130582
|
entity |
| Predicate | neighboringTribe |
P11274
|
FINISHED |
| Object | Tencteri |
E553886
|
NE FINISHED |
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: [Ubii, neighboringTribe, Tencteri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tencteri Context triple: [Ubii, neighboringTribe, 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.
Carbentus
Carbentus is a Dutch surname historically borne by Anna Cornelia Carbentus, the mother of painter Vincent van Gogh.
-
D.
Telchinia
Telchinia is the ancient name of the Greek city-state later known as Sicyon, located in the northern Peloponnese.
-
E.
Metreon
Metreon is a large entertainment and retail complex in downtown San Francisco featuring shops, restaurants, a movie theater, and event spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035fafb54819085378e7c8d137402 |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfeb7b0881909ca26e2d8110edda |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:57 p.m.