Triple
T23169054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hibernia oil field |
E578792
|
entity |
| Predicate | topsidesFunction |
P151195
|
FINISHED |
| Object | processing of produced fluids |
—
|
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: processing of produced fluids | Statement: [Hibernia oil field, topsidesFunction, processing of produced fluids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topsidesFunction Context triple: [Hibernia oil field, topsidesFunction, processing of produced fluids]
-
A.
topLevel
Indicates that an entity occupies the highest or outermost level in a hierarchy, structure, or organizational arrangement, with no parent above it.
-
B.
sitsAtop
Indicates that one entity is positioned directly on top of another, typically resting upon its upper surface.
-
C.
formsTopOf
Indicates that one entity constitutes the uppermost part or surface of another entity.
-
D.
topLocation
Indicates that one location is the primary, highest-level, or most prominent place associated with another entity or set of locations.
-
E.
topForward
Indicates that one entity is positioned or oriented in front of and above another entity along a forward-facing direction.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2e5e208190839ec37de4b974af |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b75e2708190ba48875e36f983bc |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4:03 p.m.