Triple
T2845130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reichsgau Wartheland |
E62564
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Sieradz
Sieradz is one of the oldest towns in central Poland, historically significant as a regional center and former royal city.
|
E490647
|
NE FINISHED |
How this triple was built (4 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: Sieradz | Statement: [Reichsgau Wartheland, containsCity, Sieradz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sieradz Context triple: [Reichsgau Wartheland, containsCity, Sieradz]
-
A.
Siedlce
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.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
D.
Biłgoraj
Biłgoraj is a town in eastern Poland known for its traditional wooden architecture and location near the Roztocze region.
-
E.
Radzyń Podlaski
Radzyń Podlaski is a historic town in eastern Poland known for its Baroque Potocki Palace and role as a local cultural and administrative center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sieradz Triple: [Reichsgau Wartheland, containsCity, Sieradz]
Generated description
Sieradz is one of the oldest towns in central Poland, historically significant as a regional center and former royal city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sieradz Target entity description: Sieradz is one of the oldest towns in central Poland, historically significant as a regional center and former royal city.
-
A.
Siedlce
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.
Wadowice
Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
-
D.
Biłgoraj
Biłgoraj is a town in eastern Poland known for its traditional wooden architecture and location near the Roztocze region.
-
E.
Radzyń Podlaski
Radzyń Podlaski is a historic town in eastern Poland known for its Baroque Potocki Palace and role as a local cultural and administrative center.
- F. None of above. chosen
Provenance (5 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1b58c88190b45d8c5a76dc52ac |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea45464fc8190933e1347d23eb99b |
completed | March 21, 2026, 1:59 p.m. |
| NEDg | Description generation | batch_69bea6c475d48190a33de1ed3fdaf5b1 |
completed | March 21, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea718d5588190a927d45fba45c039 |
completed | March 21, 2026, 2:11 p.m. |
Created at: March 6, 2026, 10:02 p.m.