Triple
T17048053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 Birmingham abortion clinic bombing |
E413620
|
entity |
| Predicate | fatalityOccupation |
P1786
|
FINISHED |
| Object | off-duty police officer |
—
|
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: off-duty police officer | Statement: [1998 Birmingham abortion clinic bombing, fatalityOccupation, off-duty police officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatalityOccupation Context triple: [1998 Birmingham abortion clinic bombing, fatalityOccupation, off-duty police officer]
-
A.
victimOccupation
chosen
Indicates the profession or job role held by the person who is the victim in an event or incident.
-
B.
fatalitiesCategory
Indicates the classification of deaths associated with an event, incident, or condition into a specific category or severity level.
-
C.
constructionAccidentFatalities
Indicates that a construction-related accident resulted in one or more fatalities.
-
D.
deathCharacteristic
Indicates a characteristic, attribute, or quality specifically associated with a death event or the manner in which death occurred.
-
E.
sufferedOccupationBy
Indicates that an entity experienced harm, hardship, or adverse conditions as a result of being occupied or controlled by another entity.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9f799c8190a683ae38cd990643 |
completed | April 18, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.