Triple
T9121053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Corps of Transport |
E218848
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | RCT |
E218848
|
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: RCT | Statement: [Royal Corps of Transport, hasAbbreviation, RCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RCT Context triple: [Royal Corps of Transport, hasAbbreviation, RCT]
-
A.
RCT
chosen
RCT is the abbreviation for the Royal Corps of Transport, a former corps of the British Army responsible for military transport and logistics.
-
B.
RCTC
RCTC is a regional agency responsible for planning, funding, and coordinating transportation projects and services in Riverside County, California.
-
C.
RCTP
RCTP is the ICAO airport code for Taiwan Taoyuan International Airport, the main international gateway serving Taipei and northern Taiwan.
-
D.
INA trials
INA trials were a series of high-profile court-martials held by the British colonial government in 1945–46 to prosecute officers and soldiers of Subhas Chandra Bose’s Indian National Army, which became a major catalyst for India’s independence movement.
-
E.
ResearchKit
ResearchKit is an open-source framework from Apple that enables researchers and developers to create iOS apps for conducting medical studies and collecting health-related data from participants.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047c55a988190bf2dd63a0d0a2743 |
completed | April 3, 2026, 11:05 p.m. |
Created at: March 30, 2026, 7:17 p.m.