Triple
T271252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunset Limited |
E5636
|
entity |
| Predicate | suspensionOfService |
P6070
|
FINISHED |
| Object | east of New Orleans after Hurricane Katrina in 2005 |
—
|
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: east of New Orleans after Hurricane Katrina in 2005 | Statement: [Sunset Limited, suspensionOfService, east of New Orleans after Hurricane Katrina in 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suspensionOfService Context triple: [Sunset Limited, suspensionOfService, east of New Orleans after Hurricane Katrina in 2005]
-
A.
suspensionReason
Indicates the reason or cause for which an entity has been suspended from a status, activity, or service.
-
B.
suspension
chosen
Indicates the temporary removal or halting of a privilege, activity, or status for an entity, often as a consequence or precaution.
-
C.
service
Indicates that one entity performs work, assistance, or functions to meet the needs or requests of another entity.
-
D.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
E.
inService
Indicates that an entity is currently active, operational, or available for use in its intended role or function.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25e69a9248190b9e7959b43223baa |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b721180819080d43c43fcbccf87 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.