Triple
T15636844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk Old Town |
E375966
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Main Town Hall
Main Town Hall is a historic Gothic-Renaissance municipal building and prominent architectural landmark located in the heart of Gdańsk’s Old Town.
|
E1168373
|
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: Main Town Hall | Statement: [Gdańsk Old Town, hasLandmark, Main Town Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Main Town Hall Context triple: [Gdańsk Old Town, hasLandmark, Main Town Hall]
-
A.
Town Hall
Town Hall is a historic civic building in Berwick-upon-Tweed that has long served as a center for local government and community events.
-
B.
Town Hall
Town Hall is a prominent civic building in Clonmel, Ireland, serving as a central venue for local government and community events.
-
C.
Town Hall
Town Hall is a prominent civic and cultural building in Middlesbrough, England, known for hosting concerts, performances, and community events.
-
D.
Town Hall
Town Hall is a prominent civic building in Leamington Spa that serves as a focal point for local government and community events.
-
E.
Town Hall
Town Hall is a major civic building and historic landmark in central Sydney, commonly used for government functions, public events, and cultural activities.
- 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: Main Town Hall Triple: [Gdańsk Old Town, hasLandmark, Main Town Hall]
Generated description
Main Town Hall is a historic Gothic-Renaissance municipal building and prominent architectural landmark located in the heart of Gdańsk’s Old Town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Main Town Hall Target entity description: Main Town Hall is a historic Gothic-Renaissance municipal building and prominent architectural landmark located in the heart of Gdańsk’s Old Town.
-
A.
Town Hall
Town Hall is a historic civic building in Berwick-upon-Tweed that has long served as a center for local government and community events.
-
B.
Town Hall
Town Hall is a prominent civic building in Clonmel, Ireland, serving as a central venue for local government and community events.
-
C.
Town Hall
Town Hall is a major civic building and historic landmark in central Sydney, commonly used for government functions, public events, and cultural activities.
-
D.
Town Hall
Town Hall is a prominent civic and cultural building in Middlesbrough, England, known for hosting concerts, performances, and community events.
-
E.
Town Hall
Town Hall is a prominent civic building in Leamington Spa that serves as a focal point for local government and community events.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4923ac8190a03fe1f2c878c27e |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff608017d481909dab53450fbdb1e4 |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff61929780819096537342305ea505 |
completed | May 9, 2026, 4:32 p.m. |
Created at: April 10, 2026, 4:14 a.m.