Triple
T11061738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Typhoon Haiyan |
E261522
|
entity |
| Predicate | monthOfMajorImpact |
P11688
|
FINISHED |
| Object | November 2013 |
—
|
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: November 2013 | Statement: [Typhoon Haiyan, monthOfMajorImpact, November 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monthOfMajorImpact Context triple: [Typhoon Haiyan, monthOfMajorImpact, November 2013]
-
A.
majorImpact
Indicates that one entity has a significant, highly influential, or transformative effect on another entity or outcome.
-
B.
typicalMonthOfOccurrence
chosen
Indicates the month in which something most commonly or typically occurs.
-
C.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
D.
monthOfMainLanding
Indicates the calendar month in which the primary or main landing event takes place.
-
E.
timePeriodOfMajorImportance
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798ea834c819099401e69f995c59f |
completed | April 9, 2026, 12:17 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.