Triple
T15767148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria LNG plant at Bonny Island |
E382250
|
entity |
| Predicate | statusOfTrain7 |
P120252
|
FINISHED |
| Object | under construction |
—
|
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: under construction | Statement: [Nigeria LNG plant at Bonny Island, statusOfTrain7, under construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfTrain7 Context triple: [Nigeria LNG plant at Bonny Island, statusOfTrain7, under construction]
-
A.
followingTrainStatus
Indicates that one entity is tracking or monitoring the current operational status or progress of a train.
-
B.
railStatus
Indicates the current operational condition or state of a rail-related entity (such as a track, line, or service) within the system.
-
C.
railLineStatusAfterward
Indicates the condition or operational status of a rail line after a specified event or time period has occurred.
-
D.
trainsOn
Indicates that one entity receives training, instruction, or practice using or based on another entity (such as a resource, dataset, tool, or subject).
-
E.
hasNextTrainIndicators
Indicates that there are one or more indicators providing information about the next train in a sequence or schedule.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051951bac8190a7d45f3612c6de72 |
completed | April 16, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
| PDg | Predicate description generation | batch_69e03cc871d0819085c0fc54de7984ff |
completed | April 16, 2026, 1:35 a.m. |
Created at: April 10, 2026, 4:47 a.m.