Triple
T15636859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gdańsk Old Town |
E375966
|
entity |
| Predicate | reconstructionInspiredBy |
P67598
|
FINISHED |
| Object | 16th-century and 17th-century Gdańsk |
—
|
LITERAL 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: 16th-century and 17th-century Gdańsk | Statement: [Gdańsk Old Town, reconstructionInspiredBy, 16th-century and 17th-century Gdańsk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionInspiredBy Context triple: [Gdańsk Old Town, reconstructionInspiredBy, 16th-century and 17th-century Gdańsk]
-
A.
reconstructionInfluence
chosen
Indicates that one entity affects, guides, or shapes the way another entity is rebuilt, restored, or re-created after damage, loss, or prior form.
-
B.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
-
C.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
D.
reconstructionWork
Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
-
E.
reconstructionBuilt
Indicates that one entity carried out or was responsible for constructing a rebuilt or restored version of another entity.
- F. None of above.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.