Triple
T37394402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurricane Jeanne (2004) |
E928806
|
entity |
| Predicate | hitSameAreaAs |
P70781
|
FINISHED |
| Object | Hurricane Frances (2004) |
—
|
NE NERFINISHED |
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: Hurricane Frances (2004) | Statement: [Hurricane Jeanne (2004), hitSameAreaAs, Hurricane Frances (2004)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hitSameAreaAs Context triple: [Hurricane Jeanne (2004), hitSameAreaAs, Hurricane Frances (2004)]
-
A.
hitOver
Indicates that one entity strikes or impacts another entity by moving over or across it.
-
B.
isInArea
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
C.
isInSameRegionAs
chosen
Indicates that two entities are located within the same defined geographic or administrative region.
-
D.
underliesArea
Indicates that one entity forms the foundational basis or underlying support for a particular area or domain of activity, knowledge, or influence.
-
E.
notableAreaWithin
Indicates that one area is a particularly significant or noteworthy part located inside another, larger area.
- 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_69f76ebb10c481909b54b9dba263e29f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.