Triple
T5625352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian special forces |
E147704
|
entity |
| Predicate | hasBranch |
P35
|
FINISHED |
| Object | Unit 999 |
E27517
|
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: Unit 999 | Statement: [Egyptian special forces, hasBranch, Unit 999]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Unit 999 Context triple: [Egyptian special forces, hasBranch, Unit 999]
-
A.
Unit 999
chosen
Unit 999 is an elite Egyptian special forces unit known for conducting high-risk counterterrorism, reconnaissance, and unconventional warfare operations.
-
B.
Unit 777
Unit 777 is an elite Egyptian special forces counter-terrorism unit known for high-risk hostage rescue and anti-terror operations.
-
C.
UNIT
UNIT is a fictional military intelligence organization in the Doctor Who universe that defends Earth from alien and supernatural threats.
-
D.
R99
R99 is a designation commonly used to refer to the 99th iteration or version of a software, standard, or product release.
-
E.
Unit 8200
Unit 8200 is an elite Israeli military intelligence and cyber unit known for signals intelligence, electronic surveillance, and producing many of the country’s leading cybersecurity and tech entrepreneurs.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02235b4e48190a529f70605bf47ca |
completed | March 22, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02882babc819093c987c745615865 |
completed | March 22, 2026, 5:36 p.m. |
Created at: March 22, 2026, 3:40 p.m.