Triple
T14868765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Parade |
E349684
|
entity |
| Predicate | numberOfDeathsAt2010Disaster |
P1785
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [Love Parade, numberOfDeathsAt2010Disaster, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDeathsAt2010Disaster Context triple: [Love Parade, numberOfDeathsAt2010Disaster, 21]
-
A.
deathTollEstimate
Indicates an estimated number of deaths attributed to a particular event, cause, or period.
-
B.
deathToll
chosen
Indicates the number of deaths resulting from a particular event, situation, or cause.
-
C.
disasterDepicted
Indicates that one entity visually represents or portrays a disaster involving or affecting another entity.
-
D.
earthquakeCasualties
Indicates that an earthquake event resulted in a specified number or set of casualties (deaths and/or injuries).
-
E.
notableDisasterType
Indicates the specific kind or category of disaster for which something (such as a place, event, or entity) is notable or best known.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:55 a.m.