Triple
T11536510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilija Trojanow |
E273562
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Trojanow |
E273562
|
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: Trojanow | Statement: [Ilija Trojanow, familyName, Trojanow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trojanow Context triple: [Ilija Trojanow, familyName, Trojanow]
-
A.
Trojanow
chosen
Trojanow is a surname most notably borne by Ilija Trojanow, a Bulgarian–German writer, translator, and publisher known for his works on migration, globalization, and cultural encounters.
-
B.
Trakiszki
Trakiszki is a village in northeastern Poland near the Lithuanian border, known for its railway station on an international rail route.
-
C.
Twaron
Twaron is a high-strength, heat-resistant aramid fiber used in applications such as body armor, aerospace components, and industrial reinforcement, similar in performance to Kevlar.
-
D.
Trun
Trun is a municipality in the Surselva Region of the canton of Graubünden in eastern Switzerland.
-
E.
Trun
Trun is a commune in northwestern France that became historically significant as a focal point in the closing encirclement of German forces during the Battle of the Falaise Pocket in World War II.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839b4bb48190b748ec4119f36c11 |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6859b14e08190b8173a4b5dc8c2c5 |
completed | April 20, 2026, 7:59 p.m. |
Created at: April 8, 2026, 9:37 p.m.