Triple
T19928696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מְפִיבֹשֶׁת |
E478994
|
entity |
| Predicate | ageAtAccident |
P137870
|
FINISHED |
| Object | five years old |
—
|
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: five years old | Statement: [מְפִיבֹשֶׁת, ageAtAccident, five years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtAccident Context triple: [מְפִיבֹשֶׁת, ageAtAccident, five years old]
-
A.
aircraftAgeAtAccident
Indicates the length of time that has elapsed between an aircraft’s manufacture (or initial service) date and the date of the accident.
-
B.
ageAtTimeOfAccusation
Indicates the age a person was at the specific time when an accusation was made against them.
-
C.
ageAtArrest
Indicates the age a person was at the time they were arrested.
-
D.
involvedInAccident
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
E.
ageAtDisappearance
Indicates the age an individual was when they disappeared.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659cd4500819090363a4b7d6bf193 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.