Triple
T38239795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isoko South |
E1013728
|
entity |
| Predicate | hasOilInstallation |
P190198
|
FINISHED |
| Object | flow stations |
—
|
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: flow stations | Statement: [Isoko South, hasOilInstallation, flow stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOilInstallation Context triple: [Isoko South, hasOilInstallation, flow stations]
-
A.
hasOilHouse
Indicates that one entity possesses or includes a building or structure designated as an oil house.
-
B.
hasOilTerminal
Indicates that one entity possesses, hosts, or contains an oil terminal used for storing or transferring oil.
-
C.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
D.
hasNearbyOilTown
Indicates that one location is situated close to a town whose economy or identity is significantly associated with oil production or refining.
-
E.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.