Triple
T17295977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Targówek |
E419910
|
entity |
| Predicate | hasMetroStation |
P522
|
FINISHED |
| Object |
Trocka
Trocka is a Warsaw Metro station serving the Targówek district in Poland.
|
E1261705
|
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: Trocka | Statement: [Targówek, hasMetroStation, Trocka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trocka Context triple: [Targówek, hasMetroStation, Trocka]
-
A.
Turek
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
-
B.
Talfer
The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Leitak
Leitak is a dialectal variety of the Hakha Chin language spoken by a specific Chin community.
-
E.
Trockel
Trockel is the surname of Rosemarie Trockel, a prominent German conceptual artist known for her innovative textile and multimedia works.
- 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: Trocka Triple: [Targówek, hasMetroStation, Trocka]
Generated description
Trocka is a Warsaw Metro station serving the Targówek district in Poland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trocka Target entity description: Trocka is a Warsaw Metro station serving the Targówek district in Poland.
-
A.
Turek
Turek is a town in central Poland known historically for its textile industry and its location in the Greater Poland region.
-
B.
Talfer
The Talfer is a river in South Tyrol, northern Italy, that flows through the city of Bolzano as a tributary of the Adige.
-
C.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
D.
Leitak
Leitak is a dialectal variety of the Hakha Chin language spoken by a specific Chin community.
-
E.
Trockel
Trockel is the surname of Rosemarie Trockel, a prominent German conceptual artist known for her innovative textile and multimedia works.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437875b208190bcf0df2ded546257 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180d881ec81908e794143d355effe |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0185288b0c8190aa2122b40f2f5722 |
completed | May 11, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0185bd6e0c8190be703e260c499b5e |
completed | May 11, 2026, 7:31 a.m. |
Created at: April 10, 2026, 5:40 a.m.