Triple
T23734738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minamisanriku Town |
E586509
|
entity |
| Predicate | hasReconstructionTheme |
P153460
|
FINISHED |
| Object | build back better |
—
|
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: build back better | Statement: [Minamisanriku Town, hasReconstructionTheme, build back better]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionTheme Context triple: [Minamisanriku Town, hasReconstructionTheme, build back better]
-
A.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
B.
hasReconstructionStandard
Indicates that something is associated with or governed by a specific standard or guideline for how it should be reconstructed.
-
C.
containsReconstructionOf
Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
-
D.
hasReconstructionPlan
Indicates that there exists a defined plan or strategy for rebuilding, restoring, or reconstructing a given entity or system.
-
E.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bacfb3d0819085a11140ac7aeb12 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:10 p.m.