Triple
T16784214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dorabji Tata |
E407929
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Bad Kissingen, Germany |
E567840
|
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: Bad Kissingen, Germany | Statement: [Dorabji Tata, placeOfDeath, Bad Kissingen, Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Kissingen, Germany Context triple: [Dorabji Tata, placeOfDeath, Bad Kissingen, Germany]
-
A.
Bad Kissingen
chosen
Bad Kissingen is a historic spa town in northern Bavaria, Germany, renowned for its mineral springs and 19th-century wellness resorts.
-
B.
Herzogenaurach, Germany
Herzogenaurach, Germany is a Bavarian town internationally known as the home base of major sportswear companies Adidas and Puma.
-
C.
Neubiberg, Germany
Neubiberg, Germany is a municipality near Munich known as a hub for high-tech industry and research, including serving as the base for major semiconductor companies.
-
D.
Straubing, Germany
Straubing, Germany is a historic city in Lower Bavaria known for its medieval town center, annual Gäubodenvolksfest fair, and strong ice hockey culture.
-
E.
Dingolfing, Germany
Dingolfing, Germany is a Bavarian town known as one of BMW’s largest and most important automobile production sites.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b218d31881908d896e688ebd171c |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab056dc88190aeb9e135ae955125 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.