Triple
T3166022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mazovia |
E66213
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Siedlce |
E302354
|
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: Siedlce | Statement: [Mazovia, containsCity, Siedlce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siedlce Context triple: [Mazovia, containsCity, Siedlce]
-
A.
Siedlce
chosen
Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
-
B.
Sochaczew
Sochaczew is a town in central Poland known for its historical significance, particularly during World War II, and its location along the Bzura River west of Warsaw.
-
C.
Sieradz
Sieradz is one of the oldest towns in central Poland, historically significant as a regional center and former royal city.
-
D.
Radom
Radom is a city in central Poland known as an important regional industrial and cultural center.
-
E.
Ciechanów
Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6424ee48190a29891ffbbc3811d |
completed | March 8, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c17c9e0819088404cd2d81bfe88 |
completed | March 22, 2026, 4:12 a.m. |
Created at: March 8, 2026, 3:06 p.m.