Triple
T7960898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Zone, Islamabad |
E184861
|
entity |
| Predicate | securedBy |
P957
|
FINISHED |
| Object | Rangers |
E628967
|
NE 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: Rangers | Statement: [Red Zone, Islamabad, securedBy, Rangers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rangers Context triple: [Red Zone, Islamabad, securedBy, Rangers]
-
A.
Rangers
Rangers are elite U.S. Army light infantry soldiers trained for rapid deployment and specialized combat operations.
-
B.
Rangers
Rangers is the short name for the Kitchener Rangers, a major junior ice hockey team in the Ontario Hockey League based in Kitchener, Ontario, Canada.
-
C.
Rangers
chosen
Rangers is a common shortened name for the Pakistan Rangers, a federal paramilitary law enforcement organization responsible for border security and internal security duties in Pakistan.
-
D.
Rangers F.C.
Rangers F.C. is a Glasgow-based professional football club and one of Scotland’s most successful and historically significant teams.
-
E.
Red Bulls
Red Bulls is the nickname of EHC Red Bull München, a professional ice hockey team based in Munich, Germany that competes in the Deutsche Eishockey Liga.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b8256dc8190a4b73df7aded9097 |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe084d9348190b4102fbdfedca297 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.