Triple
T15706881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberman city |
E380735
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cybermats |
E77625
|
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: Cybermats | Statement: [Cyberman city, contains, Cybermats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cybermats Context triple: [Cyberman city, contains, Cybermats]
-
A.
Cybermats
chosen
Cybermats are small, cybernetic, worm-like drones used by the Cybermen in Doctor Who as mobile weapons, scouts, and infection carriers.
-
B.
Cyber-Shades
Cyber-Shades are a variant of the Cybermen in Doctor Who, characterized by their bestial, hound-like form used for tracking and capturing victims.
-
C.
Cyber Towers
Cyber Towers is a prominent IT office complex in Hyderabad, India, widely recognized as the iconic gateway building of the HITEC City technology hub.
-
D.
Cyber Pearl
Cyber Pearl is a prominent commercial office complex in Hyderabad’s HITEC City, known for housing numerous IT and technology companies.
-
E.
Cyberwoman
Cyberwoman is a Torchwood episode centered on a horrific experiment that leaves Ianto Jones’s girlfriend partially converted into a Cyberman, forcing the team into a deadly moral crisis.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f70d44c81909edba6bd4b58b1c5 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.