Triple
T30470922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramadan Abedi |
E775288
|
entity |
| Predicate | placeOfResidenceDuring1990s |
P34568
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Ramadan Abedi, placeOfResidenceDuring1990s, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfResidenceDuring1990s Context triple: [Ramadan Abedi, placeOfResidenceDuring1990s, United Kingdom]
-
A.
after1990LocatedIn
Indicates that one entity was located within or inside the other entity at some point after the year 1990.
-
B.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
-
C.
residenceDuringLife
chosen
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
D.
residenceDuringCareer
Indicates the place where an individual lived for a significant period while pursuing their professional career.
-
E.
statusIn1990
Indicates the status or condition that an entity had specifically in the year 1990.
- 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_69f2249622a48190b1fae2e3e4ee958a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:11 p.m.