Triple
T3036620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloth Hall |
E83024
|
entity |
| Predicate | hasNameInPolish |
P15778
|
FINISHED |
| Object |
Sukiennice
Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
|
E320378
|
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: Sukiennice | Statement: [Cloth Hall, hasNameInPolish, Sukiennice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukiennice Context triple: [Cloth Hall, hasNameInPolish, Sukiennice]
-
A.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
-
B.
Sorkwity
Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
-
C.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
D.
Porąbka
Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
- 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: Sukiennice Triple: [Cloth Hall, hasNameInPolish, Sukiennice]
Generated description
Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sukiennice Target entity description: Sukiennice is a historic Renaissance cloth hall and landmark market building located in the main square of Kraków, Poland.
-
A.
Sokółka
Sokółka is a small town in northeastern Poland known for its location in the Podlasie region near the border with Belarus.
-
B.
Sorkwity
Sorkwity is a village in northern Poland known for its scenic lakeside setting and historic manor house, situated in the Warmian-Masurian Voivodeship.
-
C.
Bisztynek
Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
-
D.
Porąbka
Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
-
E.
Ciechocinek
Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2cd4988190b52fe3616ecbe9ef |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dec8778c8190a5e06a29a0218404 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1e2c4aaa88190bb5e39c51d0583f0 |
completed | March 11, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e3228f488190b13c948c6c5d13d0 |
completed | March 11, 2026, 9:48 p.m. |
Created at: March 8, 2026, 3:01 p.m.