Triple
T29401038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torosa gas field |
E745641
|
entity |
| Predicate | associatedProjectType |
P204293
|
FINISHED |
| Object | LNG export project |
—
|
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: LNG export project | Statement: [Torosa gas field, associatedProjectType, LNG export project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedProjectType Context triple: [Torosa gas field, associatedProjectType, LNG export project]
-
A.
associatedWorkType
Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
-
B.
affectedProjectType
Indicates the type or category of project that is impacted or influenced by a given action, event, or condition.
-
C.
eligibleProjectType
Indicates that a project belongs to a category or type that qualifies it for a specific program, process, or benefit.
-
D.
associatedWithResourceProjects
Indicates a relationship where an entity is linked or connected to specific resource-related projects, such as their development, management, or use.
-
E.
relatedToProject
Indicates that an entity has a connection or association with a specific project, without specifying the exact nature of that involvement.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a036f0569cc8190a8ac7f4e07145d15 |
completed | May 12, 2026, 6:18 p.m. |
| PD | Predicate disambiguation | batch_6a036c42cf2481908760c7d48b9fc001 |
completed | May 12, 2026, 6:06 p.m. |
| PDg | Predicate description generation | batch_6a036f04c07c819099520ec48ee81461 |
completed | May 12, 2026, 6:18 p.m. |
Created at: April 28, 2026, 2:51 p.m.