Triple
T29400943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys gas field |
E745638
|
entity |
| Predicate | projectFIDYear |
P166739
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Ichthys gas field, projectFIDYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectFIDYear Context triple: [Ichthys gas field, projectFIDYear, 2012]
-
A.
fundingYearSpecific
Indicates that funding is associated with a specific, identified year rather than a general or unspecified time period.
-
B.
planningYear
Indicates the year in which planning or preparation activities for something are scheduled or designated to occur.
-
C.
fundedProject
Indicates that a funding entity has provided financial support to a specific project.
-
D.
notableProjectYear
Indicates the year in which a notable project associated with an entity took place, was created, or was prominently recognized.
-
E.
projectFaced
Indicates that a project encountered or experienced specific challenges, obstacles, or conditions during its course.
- 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_69f66a0772648190b5083f0fa099137c |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:50 p.m.