Triple
T24031266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7/7 bombings |
E595111
|
entity |
| Predicate | totalDeathsIncludingPerpetrators |
P154582
|
FINISHED |
| Object | 56 |
—
|
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: 56 | Statement: [7/7 bombings, totalDeathsIncludingPerpetrators, 56]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalDeathsIncludingPerpetrators Context triple: [7/7 bombings, totalDeathsIncludingPerpetrators, 56]
-
A.
numberOfGermanVictims
Indicates the quantity of victims who are identified as German in the context of the described event or situation.
-
B.
numberOfJewsKilled
Indicates the quantity of Jewish people who were killed in a given event, context, or time period.
-
C.
numberOfHoldersKilledInWorldWarII
Indicates the number of holders of a given title, position, or role who were killed during World War II.
-
D.
estimatedPrisonersKilled
Indicates the estimated number of prisoners who were killed in a given context or event.
-
E.
numberOfTortureVictims
Indicates the quantity of individuals who have been subjected to torture.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7709e5881908f5d4c0dd9f818c9 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:55 p.m.