Triple
T30709143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siguragura Dam |
E781841
|
entity |
| Predicate | feedsIndustry |
P170052
|
FINISHED |
| Object | aluminium smelter in North Sumatra |
—
|
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: aluminium smelter in North Sumatra | Statement: [Siguragura Dam, feedsIndustry, aluminium smelter in North Sumatra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedsIndustry Context triple: [Siguragura Dam, feedsIndustry, aluminium smelter in North Sumatra]
-
A.
dataFeeds
Indicates that one entity supplies or streams data to another entity for use, processing, or analysis.
-
B.
feedsAccelerator
Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
-
C.
feedsOn
Indicates that one entity obtains nourishment by consuming another entity as food.
-
D.
feedsAt
Indicates that one entity obtains or consumes food at, from, or using another entity (such as a location, source, or feeding apparatus).
-
E.
feedsReservoir
Indicates that one entity supplies or channels a flow (such as water or another resource) into a reservoir.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c1d1df48190ae60d38dee2c5b62 |
completed | May 2, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f688034580819086a0f9100645f8ba |
completed | May 2, 2026, 11:25 p.m. |
Created at: April 29, 2026, 8:35 p.m.