Triple
T5560013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Passenger Train |
E145741
|
entity |
| Predicate | prototypeDesignation |
P43658
|
FINISHED |
| Object | APT-E |
E532313
|
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: APT-E | Statement: [Advanced Passenger Train, prototypeDesignation, APT-E]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APT-E Context triple: [Advanced Passenger Train, prototypeDesignation, APT-E]
-
A.
APT-E
chosen
APT-E was an experimental British tilting high-speed train prototype developed in the 1970s to test advanced technologies for the Advanced Passenger Train program.
-
B.
APT
APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
-
C.
AET
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
-
D.
ATE
ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
-
E.
Ettercap
Ettercap is a network security tool used for sniffing, intercepting, and manipulating traffic on local area networks, commonly employed for man-in-the-middle attacks and protocol analysis.
- 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_69c008fcaf788190bafa02a1917ee73b |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020167afc8190b0c518907cd0d99b |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d7658a481909e9e9b29df2b148e |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.