Triple
T16315570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree of Life – Or L'Simcha Congregation |
E396163
|
entity |
| Predicate | numberOfInjuredIn2018Attack |
P63693
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Tree of Life – Or L'Simcha Congregation, numberOfInjuredIn2018Attack, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInjuredIn2018Attack Context triple: [Tree of Life – Or L'Simcha Congregation, numberOfInjuredIn2018Attack, 6]
-
A.
numberOfFatalitiesIn2011Attack
Indicates the count of people who were killed as a result of the 2011 attack.
-
B.
numberOfVictimsInjured
chosen
Indicates the count of victims who sustained injuries as a result of the event or incident.
-
C.
wasAttackedInYear
Indicates that an entity was the target of an attack that occurred in the specified year.
-
D.
deathInTerroristAttack
Indicates that an entity died as a direct result of a terrorist attack.
-
E.
attackedIn
Indicates that one entity carried out an attack in the location, context, or time frame specified by another entity or value.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.