Triple
T9799196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goodyear Tire & Rubber Company |
E237791
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Debica |
E237794
|
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: Debica | Statement: [The Goodyear Tire & Rubber Company, brand, Debica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debica Context triple: [The Goodyear Tire & Rubber Company, brand, Debica]
-
A.
Debica
chosen
Debica is a tire brand owned by the Goodyear Tire & Rubber Company, known for producing affordable passenger and commercial vehicle tires, particularly in European markets.
-
B.
Nidzica
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
-
C.
Debis
Debis was the real estate and property development arm of the former Daimler-Benz group, involved in major projects such as the redevelopment of Potsdamer Platz in Berlin.
-
D.
Nedebang
Nedebang is a lesser-known Papuan language spoken on Pantar Island in eastern Indonesia, belonging to the Alor–Pantar language family.
-
E.
Fiala
Fiala is a Czech surname most prominently associated with Petr Fiala, the Czech politician and Prime Minister.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda627cc2c81909ccc2e26751f5e85 |
completed | April 1, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c445c81481908700ffde5dd28936 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:28 p.m.