Triple
T35249877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibboleth incident |
E1018066
|
entity |
| Predicate | hasNumberKilledAccordingToText |
P25362
|
FINISHED |
| Object | 42000 Ephraimites |
—
|
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: 42000 Ephraimites | Statement: [Shibboleth incident, hasNumberKilledAccordingToText, 42000 Ephraimites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberKilledAccordingToText Context triple: [Shibboleth incident, hasNumberKilledAccordingToText, 42000 Ephraimites]
-
A.
killedApproximate
chosen
Indicates that one entity caused the death of another, but the information about this killing is uncertain, estimated, or not known with exact precision.
-
B.
isKilledTo
Indicates that one entity is killed as a consequence or objective of an action performed by another entity.
-
C.
killedDuring
Indicates that one entity caused the death of another entity in the course of, or as part of, a specified event or time period.
-
D.
numberOfConfirmedKills
Indicates the total count of individuals that an entity is reported or confirmed to have killed.
-
E.
killedBecauseOf
Indicates that one entity killed another specifically due to a particular reason, motive, or triggering factor associated with that other entity or a related circumstance.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4:02 p.m.