Triple
T3516484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orinoco Belt |
E74319
|
entity |
| Predicate | averageAPIGravity |
P48485
|
FINISHED |
| Object | between 8 and 10 degrees API |
—
|
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: between 8 and 10 degrees API | Statement: [Orinoco Belt, averageAPIGravity, between 8 and 10 degrees API]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAPIGravity Context triple: [Orinoco Belt, averageAPIGravity, between 8 and 10 degrees API]
-
A.
hasSpecificGravity
Indicates that one entity has a specific gravity value equal to or characteristic of another entity or reference substance.
-
B.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
C.
averageAge
Indicates the mean age value calculated from a group of entities or individuals.
-
D.
averageHydrogenNumberDensity
Indicates the mean number of hydrogen atoms per unit volume within a specified region or system.
-
E.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc31c0688190a890621a901f5f5f |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:19 p.m.