Triple
T7706805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galena, Alaska |
E174638
|
entity |
| Predicate | hasRebuildingEffort |
P28319
|
FINISHED |
| Object | post-2013 flood reconstruction |
—
|
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: post-2013 flood reconstruction | Statement: [Galena, Alaska, hasRebuildingEffort, post-2013 flood reconstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuildingEffort Context triple: [Galena, Alaska, hasRebuildingEffort, post-2013 flood reconstruction]
-
A.
hasReconstructionWork
chosen
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
B.
haveReconstructionWork
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
-
C.
hasRebuilt
Indicates that an entity has restored, reconstructed, or built again something that previously existed or was damaged or destroyed.
-
D.
rebuiltFor
Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
-
E.
rebuiltUnder
Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ebb7448190ae8d47fe0cbb0907 |
completed | March 27, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69c701683dec8190be9861e592aa8ce0 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:04 p.m.