Triple
T20153351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libération-Sud |
E491491
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | MUR |
—
|
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: MUR | Statement: [Libération-Sud, mergedInto, MUR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MUR Context triple: [Libération-Sud, mergedInto, MUR]
-
A.
MUR
MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
-
B.
MUR
MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
-
C.
MUR
chosen
MUR was a major French Resistance movement during World War II that unified several underground groups opposing the Nazi occupation and the Vichy regime.
-
D.
MURR
MURR is a high-power research nuclear reactor at the University of Missouri used for scientific research, isotope production, and educational purposes.
-
E.
MOR
MOR is the station code for Mo i Rana Station, a railway station in the town of Mo i Rana in Nordland county, Norway.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dda9b4819097ff66bb2b50fc21 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.