Triple
T29771884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac-Mégantic |
E755269
|
entity |
| Predicate | hasRebuiltArea |
P70431
|
FINISHED |
| Object | new downtown core |
—
|
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: new downtown core | Statement: [Lac-Mégantic, hasRebuiltArea, new downtown core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuiltArea Context triple: [Lac-Mégantic, hasRebuiltArea, new downtown core]
-
A.
hasRebuilt
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
-
B.
hasRedevelopedArea
chosen
Indicates that an entity has an area that has been improved, renovated, or rebuilt from its previous state.
-
C.
hasRebuiltInfrastructure
Indicates that an entity has restored or reconstructed damaged or outdated infrastructure, typically improving or modernizing it in the process.
-
D.
laterRebuiltAs
Indicates that one entity was reconstructed or redeveloped at a later time to become or be replaced by another specific entity.
-
E.
hasRebuiltDate
Indicates the date on which something was rebuilt or reconstructed.
- 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_69f0ef878574819088c867fd1a5c8b86 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
Created at: April 28, 2026, 8:43 p.m.