Triple
T8024247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almatti Reservoir |
E186812
|
entity |
| Predicate | constructionMaterialContext |
P45278
|
FINISHED |
| Object | earthen and concrete dam impoundment |
—
|
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: earthen and concrete dam impoundment | Statement: [Almatti Reservoir, constructionMaterialContext, earthen and concrete dam impoundment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionMaterialContext Context triple: [Almatti Reservoir, constructionMaterialContext, earthen and concrete dam impoundment]
-
A.
constructionContext
Indicates the situational or environmental conditions under which a construction-related activity, process, or relationship takes place.
-
B.
commonMaterialContext
chosen
Indicates that two or more entities share a similar or related material composition, substance, or physical makeup.
-
C.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
D.
constructionUsed
Indicates that one entity was employed as a construction method, material, or component in creating or assembling another entity.
-
E.
cementType
Indicates the specific kind or classification of cement associated with an 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e90c7348190abc1013a312e4f1a |
completed | March 31, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:21 p.m.