Triple
T29400926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ichthys gas field |
E745638
|
entity |
| Predicate | distanceToShore_km |
P15760
|
FINISHED |
| Object | approximately 220 |
—
|
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 220 | Statement: [Ichthys gas field, distanceToShore_km, approximately 220]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToShore_km Context triple: [Ichthys gas field, distanceToShore_km, approximately 220]
-
A.
distanceFromCoast
chosen
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
hasMaximumDistanceFromCoast
Indicates that an entity is located at the greatest possible distance from any coastline within a specified area or context.
-
C.
distanceToLand’sEnd
Indicates the measured distance between a given location or object and the specific place referred to as Land’s End.
-
D.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
E.
hasNearbyCoast
Indicates that one location is situated close to a coastline or seashore.
- 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_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
Created at: April 28, 2026, 2:50 p.m.