Triple
T29401134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys LNG development |
E745644
|
entity |
| Predicate | condensateCapacity |
P167146
|
FINISHED |
| Object | approximately 100,000 barrels per day |
—
|
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: approximately 100,000 barrels per day | Statement: [Ichthys LNG development, condensateCapacity, approximately 100,000 barrels per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: condensateCapacity Context triple: [Ichthys LNG development, condensateCapacity, approximately 100,000 barrels per day]
-
A.
condensateCapacity_kbpd
chosen
Indicates the maximum volume of condensate that can be processed or produced, measured in thousands of barrels per day (kbpd).
-
B.
unitCapacity
Indicates the maximum quantity or load that a single unit is designed or allowed to hold, process, or accommodate.
-
C.
unitOfCapacity
Indicates that one entity is a unit used to measure the capacity or volume of another entity.
-
D.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
E.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
- 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_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 2:51 p.m.