Triple
T6265042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Maria |
E140391
|
entity |
| Predicate | nameRetiredOn |
P43686
|
FINISHED |
| Object | 2018-04 |
—
|
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: 2018-04 | Statement: [Hurricane Maria, nameRetiredOn, 2018-04]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameRetiredOn Context triple: [Hurricane Maria, nameRetiredOn, 2018-04]
-
A.
nameRetiredWhen
chosen
Indicates the point in time or condition under which a particular name is officially retired from use.
-
B.
nameRetiredFrom
Indicates that an entity has ceased holding or performing a particular named role, position, or activity.
-
C.
nameRetiredBy
Indicates that a particular name or designation is no longer in active use because it has been formally retired by a specific agent or authority.
-
D.
retiredBy
Indicates that one entity has formally ended the active status, use, or service of another entity.
-
E.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639e64588190875e4e1e772fb336 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.