Triple
T29401152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys LNG development |
E745644
|
entity |
| Predicate | gasFieldType |
P4541
|
FINISHED |
| Object | gas-condensate field |
—
|
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: gas-condensate field | Statement: [Ichthys LNG development, gasFieldType, gas-condensate field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gasFieldType Context triple: [Ichthys LNG development, gasFieldType, gas-condensate field]
-
A.
fieldType
chosen
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
B.
containsGasField
Indicates that one entity geographically includes or encompasses a gas field within its boundaries.
-
C.
gulType
Indicates the specific kind or category of a gul (as defined in the given context) that an entity belongs to.
-
D.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
E.
typeOfGasUsed
Indicates the specific kind of gas that is utilized in relation to an entity or process.
- 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_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. |
Created at: April 28, 2026, 2:51 p.m.