Triple
T6356051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zemst |
E142992
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Hofstade (Zemst) |
E142992
|
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: Hofstade (Zemst) | Statement: [Zemst, hasSubdivision, Hofstade (Zemst)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hofstade (Zemst) Context triple: [Zemst, hasSubdivision, Hofstade (Zemst)]
-
A.
Zemst
chosen
Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
-
B.
Ruzhany
Ruzhany is a historic town in present-day Belarus, formerly part of Poland, known for its Jewish heritage and as the birthplace of Israeli Prime Minister Yitzhak Shamir.
-
C.
Zemtsov
Zemtsov is a Russian surname most notably borne by violist Mikhail Zemtsov.
-
D.
Koserow
Koserow is a seaside resort village on the Baltic Sea coast of the island of Usedom in northeastern Germany, known for its beaches and coastal landscapes.
-
E.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d5966a88190a7184157b235b170 |
completed | March 27, 2026, 7:10 a.m. |
Created at: March 22, 2026, 4:32 p.m.