Triple
T18491282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRCP |
E451821
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
MRCP
MRCP (Membership of the Royal Colleges of Physicians) is a postgraduate medical qualification in the United Kingdom that assesses physicians’ knowledge and clinical skills for specialist training in internal medicine.
|
E1328303
|
NE FINISHED |
How this triple was built (4 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: MRCP | Statement: [FRCP, relatedTo, MRCP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MRCP Context triple: [FRCP, relatedTo, MRCP]
-
A.
MRA
MRA is the IATA airport code for Misrata International Airport, a commercial airport serving the city of Misrata in Libya.
-
B.
MDCT
MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
-
C.
MRIT
MRIT is an abbreviation for the Matsushita Research Institute Tokyo, a Japanese research organization historically associated with Panasonic’s advanced technology and electronics R&D.
-
D.
ECT
ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
-
E.
ECT
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: MRCP Triple: [FRCP, relatedTo, MRCP]
Generated description
MRCP (Membership of the Royal Colleges of Physicians) is a postgraduate medical qualification in the United Kingdom that assesses physicians’ knowledge and clinical skills for specialist training in internal medicine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MRCP Target entity description: MRCP (Membership of the Royal Colleges of Physicians) is a postgraduate medical qualification in the United Kingdom that assesses physicians’ knowledge and clinical skills for specialist training in internal medicine.
-
A.
MRA
MRA is the IATA airport code for Misrata International Airport, a commercial airport serving the city of Misrata in Libya.
-
B.
MDCT
MDCT (Modified Discrete Cosine Transform) is a time-frequency transform widely used in modern audio compression formats to efficiently represent sound with reduced data.
-
C.
MRIT
MRIT is an abbreviation for the Matsushita Research Institute Tokyo, a Japanese research organization historically associated with Panasonic’s advanced technology and electronics R&D.
-
D.
ECT
ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
-
E.
ECT
ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
- F. None of above. chosen
Provenance (5 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531dcac3c8190b2ebd129ca7f368d |
completed | April 19, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04713c21c48190bc34746e0d5f75b4 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04863e4f4c8190a79373a9cd510ed5 |
completed | May 13, 2026, 2:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0486f4ec3c81908fc7189c03b63ddb |
completed | May 13, 2026, 2:13 p.m. |
Created at: April 10, 2026, 11:35 a.m.