Triple
T5512090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonial Williamsburg |
E144587
|
entity |
| Predicate | hasReconstructedBuildings |
P28319
|
FINISHED |
| Object | numerous reconstructed 18th-century structures |
—
|
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: numerous reconstructed 18th-century structures | Statement: [Colonial Williamsburg, hasReconstructedBuildings, numerous reconstructed 18th-century structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructedBuildings Context triple: [Colonial Williamsburg, hasReconstructedBuildings, numerous reconstructed 18th-century structures]
-
A.
hasRebuiltHistoricCenter
Indicates that an entity has undertaken and completed the restoration or reconstruction of a historic city or town center.
-
B.
hasReconstructionWork
chosen
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
C.
reconstructionBuilt
Indicates that one entity carried out or was responsible for constructing a rebuilt or restored version of another entity.
-
D.
hasReconstructedChurch
Indicates that an entity has rebuilt or restored a church, typically after damage, destruction, or disuse.
-
E.
rebuiltOrExpanded
Indicates that one entity has been reconstructed, enlarged, or otherwise significantly developed from its previous form or state.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f581c5081909a8f6d4653edb125 |
completed | March 22, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69c01b07bde08190b3933b96bdc70dd5 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:33 p.m.