Triple
T28688040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Leavitt |
E729191
|
entity |
| Predicate | placeOfInvestigation |
P58123
|
FINISHED |
| Object | Saudi Arabia |
—
|
NE NERFINISHED |
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: Saudi Arabia | Statement: [Adam Leavitt, placeOfInvestigation, Saudi Arabia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfInvestigation Context triple: [Adam Leavitt, placeOfInvestigation, Saudi Arabia]
-
A.
investigatedAt
Indicates that an investigation into an entity or event took place at a specific location or facility.
-
B.
investigatedPlace
chosen
Indicates that an agent carried out an investigation or inquiry at a particular place or location.
-
C.
investigatesAt
Indicates that an entity conducts an investigation or research activity at a specific location or institution.
-
D.
locatedAtTimeOfDiscovery
Indicates the place where something was situated at the moment it was first discovered.
-
E.
placeOfSetting
Indicates the location or environment where an event, scene, or situation takes place.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 5:34 a.m.