Triple
T31808888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tongonan Geothermal Field |
E811948
|
entity |
| Predicate | globalRankByCapacity |
P38632
|
FINISHED |
| Object | among large geothermal developments worldwide |
—
|
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: among large geothermal developments worldwide | Statement: [Tongonan Geothermal Field, globalRankByCapacity, among large geothermal developments worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalRankByCapacity Context triple: [Tongonan Geothermal Field, globalRankByCapacity, among large geothermal developments worldwide]
-
A.
rankByCapacityInUS
Indicates the relative ordering of entities based on their capacity within the United States.
-
B.
capacityRankInWorld
chosen
Indicates the relative position or ranking of an entity’s capacity compared to all similar entities worldwide.
-
C.
capacityRank
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
-
D.
rankByCapacityInAfrica
Indicates the relative ordering of entities based on their capacity within the context of Africa.
-
E.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:43 p.m.