Triple
T32159245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop's Palace (Galveston) |
E821379
|
entity |
| Predicate | damageFrom1900Hurricane |
P173650
|
FINISHED |
| Object | minor |
—
|
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: minor | Statement: [Bishop's Palace (Galveston), damageFrom1900Hurricane, minor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: damageFrom1900Hurricane Context triple: [Bishop's Palace (Galveston), damageFrom1900Hurricane, minor]
-
A.
numberOfHurricanes
Indicates the total count of hurricanes associated with a specified context, such as a region, time period, or event.
-
B.
tornadoScale1997
Indicates the intensity classification of a tornado according to the 1997 tornado scale standard.
-
C.
regionAffectedByNamedStorms
Indicates that a geographic region is impacted or influenced by one or more specifically named storms.
-
D.
stormTypeAtLandfall
Indicates the classification or category of a storm at the specific time and location where it makes landfall.
-
E.
reachedHurricaneStatusOn
Indicates the date or time at which a storm system intensified enough to be classified as a hurricane.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6ba19733881909567a0c5af4b9966 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:32 a.m.