Triple
T9409368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Old Town |
E226665
|
entity |
| Predicate | reconstructionSymbolizes |
P89011
|
FINISHED |
| Object | restoration of Warsaw from war damage |
—
|
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: restoration of Warsaw from war damage | Statement: [Warsaw Old Town, reconstructionSymbolizes, restoration of Warsaw from war damage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionSymbolizes Context triple: [Warsaw Old Town, reconstructionSymbolizes, restoration of Warsaw from war damage]
-
A.
reconstructionFor
Indicates that one entity serves as a reconstruction, restoration, or rebuilt version of another entity.
-
B.
reconstructs
Indicates performing an action to rebuild, restore, or reassemble something from its parts, damage, or prior state.
-
C.
reconstructionWork
Indicates that an entity is engaged in or associated with activities to rebuild, restore, or repair something that was damaged, destroyed, or altered.
-
D.
reconstructionBuilt
Indicates that one entity carried out or was responsible for constructing a rebuilt or restored version of another entity.
-
E.
reconstructedIn
Indicates that something has been rebuilt, restored, or re-created within a particular context, location, or medium.
- F. None of above. chosen
Provenance (4 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd52547f0c81908ed4f53b9f05ebaa |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca9d07eb08190866eb15333386dfa |
completed | April 1, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:47 p.m.