Triple
T18319761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murray & Roberts |
E438840
|
entity |
| Predicate | isAlsoKnownAs |
P39
|
FINISHED |
| Object | M&R |
—
|
NE NERFINISHED |
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: M&R | Statement: [Murray & Roberts, isAlsoKnownAs, M&R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M&R Context triple: [Murray & Roberts, isAlsoKnownAs, M&R]
-
A.
M&R
chosen
M&R is the commonly used abbreviation for Murray & Roberts, a South African engineering and construction services company.
-
B.
P&MR
P&MR is a committee within the American Chemical Society that focuses on issues related to professional practice and member relations in the chemical sciences community.
-
C.
MRF
MRF (Media Resource Function) is a core network component in IP Multimedia Subsystem (IMS) architectures responsible for handling media processing tasks such as mixing, transcoding, and media stream manipulation for real-time communication services.
-
D.
MRS
MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
-
E.
MRS
MRS is the IATA airport code for Marseille Provence Airport, the main international airport serving Marseille, France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa4d3308190883714e1ef6a1d84 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.